Lecture Notes in Computer Science 3512 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos NewYork University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
Transcript
Lecture Notes in Computer Science 3512Commenced Publication in 1973Founding and Former Series Editors:Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board
David HutchisonLancaster University, UK
Takeo KanadeCarnegie Mellon University, Pittsburgh, PA, USA
Josef KittlerUniversity of Surrey, Guildford, UK
Jon M. KleinbergCornell University, Ithaca, NY, USA
Friedemann MatternETH Zurich, Switzerland
John C. MitchellStanford University, CA, USA
Moni NaorWeizmann Institute of Science, Rehovot, Israel
Oscar NierstraszUniversity of Bern, Switzerland
C. Pandu RanganIndian Institute of Technology, Madras, India
Bernhard SteffenUniversity of Dortmund, Germany
Madhu SudanMassachusetts Institute of Technology, MA, USA
Demetri TerzopoulosNew York University, NY, USA
Doug TygarUniversity of California, Berkeley, CA, USA
Moshe Y. VardiRice University, Houston, TX, USA
Gerhard WeikumMax-Planck Institute of Computer Science, Saarbruecken, Germany
Joan Cabestany Alberto PrietoFrancisco Sandoval (Eds.)
ComputationalIntelligence andBioinspired Systems
8th International Work-Conference onArtificial Neural Networks, IWANN 2005Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005Proceedings
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Volume Editors
Joan CabestanyUniversitat Politècnica de Catalunya (UPC), E.T.S.I. TelecomunicaciónDepartamento de Ingeniería ElectrónicaCampus Nord, Edificio C4, C/ Jordi Girona, 1-3, 08034 Barcelona, SpainE-mail: [email protected]
Alberto PrietoUniversidad de Granada, E.T.S.I. InformáticaDepartamento de Arquitectura de ComputadoresC/ Periodista Daniel Saucedo, s/n, 18071 Granada, SpainE-mail: [email protected]
Francisco SandovalUniversidad de Málaga, E.T.S.I. de TelecomunicaciónDepartamento de Tecnología ElectrónicaCampus Universitario de Teatinos, 29071 Málaga, SpainE-mail: [email protected]
ISSN 0302-9743ISBN-10 3-540-26208-3 Springer Berlin Heidelberg New YorkISBN-13 978-3-540-26208-4 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material isconcerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting,reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publicationor parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965,in its current version, and permission for use must always be obtained from Springer. Violations are liableto prosecution under the German Copyright Law.
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Preface
We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems).
Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications.
We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, … ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms.
The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” The call for papers was launched several months ago, addressing the following topics:
1. Mathematical and theoretical methods in computational intelligence. Complex and social systems; evolutionary and genetic algorithms; fuzzy logic; mathematics for neural networks; RBF structures; self-organizing networks and methods; support vector machines.
3. Learning and adaptation. Adaptive systems; imitation learning; reconfigurable systems; supervised, non-supervised, reinforcement and statistical algorithms.
4. Emulation of cognitive functions. Decision making; multi-agent systems; multi-sensory integration; natural languages; pattern recognition; perceptual and motor functions (visual, auditory, tactile, etc.); robotics; planning motor control.
5. Bioinspired systems and neuroengineering. Embedded neural networks and fuzzy systems; evolvable computing; evolving hardware; microelectronics for neural, fuzzy and bioinspired systems; neural prostheses; retinomorphic systems.
6. Applications. Biomimetic applications; data analysis and preprocessing; data mining; economics and financial engineering; fuzzy systems for control; the internet; neural networks for control; power systems; signal processing; telecommunication applications; time series and prediction.
Preface VI
After a careful review process of the more than 240 submissions, 150 papers were accepted for publication including the contribution of three invited speakers. In this edition a special emphasis was put on the organization of special sessions. A total of 10 sessions containing 46 papers were accepted for presentation, covering specific aspects like the modelling of neurons, design of neural topologies, applications, etc. This review and selection process was done with the help and cooperation of the members of our International Program Committee.
The organization of this book does not follow the scheme and the order of the main mentioned topics, but is organized in a rational way according to the contents of the accepted papers, going from the more abstract concepts to the concrete and applicable questions and considerations. The result is a 20-chapter volume with the following main parts: 1. Mathematical and Theoretical Methods 2. Evolutionary Computation 3. Neurocomputation-Inspired Models 4. Learning and Adaptation 5. Radial Basis Function Structures 6. Self-organizing Networks and Methods 7. Support Vector Machines 8. Cellular Neural Networks 9. Hybrid Systems 10. Neuroengineering and Hardware Implementations 11. Pattern Recognition 12. Perception and Robotics 13. Applications on Data analysis and Preprocessing 14. Applications on Data Mining 15. Applications on Signal Processing 16. Applications on Image Processing 17. Applications on Forecasting 18. Applications on Independent Component Analysis and Blind Source Separation 19. Applications on Power Systems 20. Other Applications
IWANN 2005 was organized by the Universitat Politècnica de Catalunya, UPC, with the strong cooperation of the Universidad de Granada and the Universidad de Málaga. Sponsorship was obtained from the organizing university, UPC, the Spanish Ministerio de Educación y Ciencia, the AGAUR agency of the Generalitat de Catalunya, and the City Council of Vilanova i la Geltrú.
We would like to express our gratitude to the members of the IWANN Organizing Committee, and to all the people who participated in the event (delegates, invited speakers, special session organizers). The editors would like to address a special mention to the people who helped in the review process as special or additional reviewers.
Preface VII
Finally, we would like to thank Springer, and especially Alfred Hofmann and Anna Kramer, for their continuous support and cooperative work from the very beginning of the IWANN conferences.
June 2005 Joan Cabestany, Universitat Politècnica de Catalunya
Alberto Prieto, Universidad de Granada Francisco Sandoval, Universidad de Málaga
IWANN 2005 Chairs and Committees
Organizing Committee Conference Chairs Joan Cabestany (Univ. Politécnica de Cataluña) Alberto Prieto (Univ. de Granada ) Francisco Sandoval (Univ. de Málaga) Technical Program Chairs Gonzalo Joya (Univ. de Málaga) Francisco García Lagos (Univ. de Málaga) Miguel Atencia (Univ. de Málaga) Publicity and Publication Chairs Pedro Castillo (Univ. de Granada) Alberto Guillén (Univ. de Granada) Francisco Illeras (Univ. de Granada) Beatriz Prieto (Univ. de Granada) Registration and Local Arrangements Chairs Andreu Catalá (Univ. Politécnica de Cataluña) Cecilio Angulo (Univ. Politécnica de Cataluña) Xavier Parra (Univ. Politécnica de Cataluña) Special Sessions Chairs Christian Jutten (INPG-LIS Grenoble) Richard Duro (Univ. La Coruña) Program Committee Igor Aleksander, Imperial College London, UK Andreas Andreu, Johns Hopkins University, USA Antonio Bahamonde, Univ. Oviedo, Gijón, Spain Sergi Bermejo, Univ. Politécnica de Catalunya, Spain Gert Cauwenberghs, Johns Hopkins University, USA Jesus Cid-Sueiro, Univ. Carlos III, Madrid, Spain Carlos Cotta, Univ. Málaga, Spain Marie Cottrell, Univ. Paris 1, France Luiza de Macedo Mourelle, State University of Rio de Janeiro, Brazil José Dorronsoro, Univ. Autónoma de Madrid, Spain Richard Duro, Univ. Coruña, Spain
Organization X
Reinhard Eckhorn, Philipps-Universität Marburg, Germany José Manuel Fernández, Univ. Politécnica de Cartagena, Spain Kunihiko Fukushima, Osaka Univ., Japan Dario Floreano, Swiss NSF, EPFL, Switzerland Patrik Garda, Orsay, France Karl Goser, Univ. Dortmund, Germany Manuel Graña, Univ. País Vasco, Spain Anne Guérin-Dugué, CLIPS, IMAG, Grenoble, France Alister Hamilton, Univ. Edinburgh, UK Jeanny Hérault, INP Grenoble, France Francisco Herrera, Univ. Granada, Spain Giacomo Indiveri, Institute of Neuroinformatics ETH/UNIZ, Zurich, Switzerland Pedro Isasi, Univ. Carlos III, Spain Christian Jutten, INP Grenoble, France Heinrich Klar, Mikroelektronik, TU Berlin, Germany Jordi Madrenas, Univ. Politécnica de Catalunya, Spain Dario Maravall, Univ. P. Madrid, Spain Bonifacio Martín del Brio, Univ. Zaragoza, Spain Francesco Masulli, Univ. La Spezia, Genoa, Italy Juan M. Moreno Aróstegui, Univ. P. de Catalunya, Spain Alan F. Murray, Edinburgh University, UK Nadia Nedjah, State University of Rio de Janeiro, Brazil Julio Ortega, Univ. Granada, Spain Francisco J. Pelayo, Univ. Granada, Spain Andrés Perez-Uribe, Univ. of Applied Science of Western Switzerland, Switzerland Vicenzo Piuiri, University of Milan, Italy Angel P. del Pobil, Univ. Jaume I. de Castellón, Spain Carlos G. Puntonet, Univ. Granada, Spain Leonardo Reyneri, Politecnico di Torino, Italy Luigi M. Ricciardi, Univ. di Napoli Federico II, Italy Ulrich Rückert, Heinz Nixdorf Institute, Univ. of Paderborn, Germany Ignacio Rojas, Univ. Granada, Spain Eduardo Ros, Univ. Granada, Spain Javier Ruiz-del-Solar, Universidad de Chile, Chile Eduardo Sanchez, LSI, EPFL, Switzerland Juan V. Sanchez-Andrés, Univ. de La Laguna, Spain Juan A. Sigüenza, Univ. Autónoma de Madrid, Spain Jordi Solé-Casals, Univ. de Vic, Spain Peter Szolgay, Hungarian Academy of Sciences, Hungary Carme Torras, IRI (CSIC-UPC), Barcelona, Spain Marley Vellasco, Pontif. Univ. Católica Rio de Janeiro, Brazil Michel Verleysen, Univ. Cath. de Louvain-la-Neuve, Belgium Changjiu Zhou, Singapore Polytechnic, Singapore Barbara Hammer, Univ. of Osnabrück, Germany Peter Tino, Univ. of Birmingham, UK
Organizing Committee XI
Other Reviewers
Ata Kaban Guillermo Bedoya Vicenç Parisi Miguel Sanchez-Marré Javier Díaz Antonio Cañas Héctor Pomares Manuel Rodriguez Moisés Salmerón Eva M. Ortigosa Catherine Aaron André Vargas Abs da Cruz Miguel Atencia Chiara Bartolozzi
Jordi Cosp Javier de Lope Julián Dorado José Manuel Ferrández Francisco Ferrer Karla Tereza Figueiredo Leonardo Franco Raúl Giráldez Luis González Abril Luis J. Herrera José Jerez Peter Kelly Elmar W. Lang Amaury Lendasse
Enric Monte Dylan Muir Juan R. Rabuñal José C. Riquelme Roberto Ruiz Vicente Ruiz de Angulo Francisco Ruiz Vega Joseph Rynkiewicz Ricardo Tanscheit Fabian Theis José Luis Vázquez Ahmed Zobaa Pedro J. Zufiria
Table of Contents
Mathematical and Theoretical Methods
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks
Leonardo Franco, José M. Jerez, José M. Bravo .......................................... 1
Analysis of the Sanger Hebbian Neural Network J. Andrés Berzal, Pedro J. Zufiria ................................................................ 9
Considering Multidimensional Information Through Vector Neural Networks J.L. Crespo, R.J. Duro .................................................................................. 17
Combining Ant Colony Optimization with Dynamic Programming for Solving the k-Cardinality Tree Problem
Christian Blum, Maria Blesa ........................................................................ 25
Evolutionary Computation
A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation
G. Rubio, H. Pomares ................................................................................... 34
Average Time Complexity of Estimation of Distribution Algorithms C. González, A. Ramírez, J.A. Lozano, P. Larrañaga ................................... 42
A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
Carlos Cotta................................................................................................... 50
Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression
Miguel Rocha, Paulo Cortez, José Neves ..................................................... 59
Applying Bio-inspired Techniques to the p-Median Problem E. Domínguez, J. Muñoz ............................................................................... 67
Optimal Strategy for Resource Allocation of Two-Dimensional Potts Model Using Genetic Algorithm
Memetic Algorithms to Product-Unit Neural Networks for Regression Francisco Martínez-Estudillo, César Hervás-Martínez, Alfonso Martínez-Estudillo, Domingo Ortíz-Boyer ...................................... 83
Table of Contents XIV
Lamarckian Clonal Selection Algorithm Based Function Optimization Wuhong He, Haifeng Du, Licheng Jiao, Jing Li ........................................... 91
Neurocomputational Inspired Models
Artificial Neural Networks Based on Brain Circuits Behaviour and Genetic Algorithms
Ana Porto, Alejandro Pazos, Alfonso Araque ............................................... 99
Modeling Synaptic Transmission and Quantifying Information Transfer in the Granular Layer of the Cerebellum
TiViPE Simulation of a Cortical Crossing Cell Model Tino Lourens, Emilia Barakova ................................................................... 122
A Model of Spiking-Bursting Neuronal Behavior Using a Piecewise Linear Two-Dimensional Map
Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano ............. 130
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model Christian Boucheny, Richard Carrillo, Eduardo Ros, Olivier J.-M.D. Coenen ................................................................................. 136
Modeling Neural Processes in Lindenmayer Systems Carlos Martín-Vide, Tseren-Onolt Ishdorj .................................................. 145
Modeling Stimulus Equivalence with Multi Layered Neural Networks Hiroyuki Okada, Masamichi Sakagami, Hiroshi Yamakawa ........................ 153
Instability of Attractors in Auto-associative Networks with Bio-inspired Fast Synaptic Noise
Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro ................................... 161
Lookup Table Powered Neural Event-Driven Simulator Richard R. Carrillo, Eduardo Ros, Eva M. Ortigosa, Boris Barbour, Rodrigo Agís ................................................................................................. 168
Learning and Adaptation
Joint Kernel Maps Jason Weston, Bernhard Schölkopf, Olivier Bousquet ................................. 176
Table of Contents XV
Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques
Exploiting Multitask Learning Schemes Using Private Subnetworks Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez ......................................... 233
Co-evolutionary Learning of Liquid Architectures Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeevi ................................ 241
Extended Sparse Nonnegative Matrix Factorization Kurt Stadlthanner, Fabian J. Theis, Carlos G. Puntonet, Elmar W. Lang ... 249
Radial Basic Functions Structures
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks J.M. Valls, R. Aler, O. Fernández ................................................................ 257
Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm
A. Guillén, I. Rojas, J. González, H. Pomares, L.J. Herrera, O. Valenzuela, A. Prieto ............................................................................... 272
Input Variable Selection in Hierarchical RBF Networks Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis J. Herrera, Alberto Prieto ............................................................................................... 280
Table of Contents XVI
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, Alberto Guillén, Fernando Rojas ........................................ 289
Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs
Antonio J. Rivera, Ignacio Rojas, Julio Ortega ........................................... 297
Self-organizing Networks and Methods
Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
Deriving Cortical Maps and Elastic Nets from Topology-Preserving Maps Valery Tereshko ............................................................................................ 326
Evolution of Cooperating ANNs Through Functional Phenotypic Affinity F. Bellas, J.A. Becerra, R.J. Duro ................................................................ 333
Web Usage Mining Using Support Vector Machine Sung-Hae Jun ................................................................................................ 349
Multi-kernel Growing Support Vector Regressor D. Gutiérrez-González, E. Parrado-Hernández, A. Navia-Vázquez ............. 357
Cellular Neural Networks
Stability Results for Cellular Neural Networks with Time Delays Daniela Danciu, Vladimir Răsvan ................................................................ 366
Global Exponential Stability Analysis in Cellular Neural Networks with Time-Varying Coefficients and Delays
Qiang Zhang, Dongsheng Zhou, Xiaopeng Wei, Jin Xu ............................... 374
Table of Contents XVII
Hybrid Systems
Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development
Juan R. Rabuñal, Julián Dorado, Marcos Gestal, Nieves Pedreira ............ 382
Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn ................. 391
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad ............................................................... 399
Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks
Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Yong-Kab Kim ................... 407
Hierarchical Neuro-fuzzy Models Based on Reinforcement Learning for Intelligent Agents
Karla Figueiredo, Marley Vellasco, Marco Aurélio Pacheco ...................... 424
Neuroengineering and Hardware Implementations
Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements
Enric Claverol-Tinturé, Xavier Rosell, Joan Cabestany ............................... 433
Using Kolmogorov Inspired Gates for Low Power Nanoelectronics Valeriu Beiu, Artur Zawadski, Răzvan Andonie, Snorre Aunet .................... 438
CMOL CrossNets as Pattern Classifiers Jung Hoon Lee, Konstantin K. Likharev ....................................................... 446
Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks
Tim Kaulmann, Markus Ferber, Ulf Witkowski, Ulrich Rückert ................. 455
Smart Sensing with Adaptive Analog Circuits Guillermo Zatorre, Nicolás Medrano, Santiago Celma, Bonifacio Martín-del-Brío, Antonio Bono .................................................... 463
Table of Contents XVIII
¨
Spiking Neurons Computing Platform Eduardo Ros, Eva M. Ortigosa, Rodrigo Agís, Richard Carrillo, Alberto Prieto, Mike Arnold ......................................................................... 471
Inter-spike-intervals Analysis of Poisson Like Hardware Synthetic AER Generation
A. Linares-Barranco, M. Oster, D. Cascado, G. Jiménez, A. Civit, B. Linares-Barranco ..................................................................................... 479
Ultra Low-Power Neural Inspired Addition: When Serial Might Outperform Parallel Architectures
An Asynchronous 4-to-4 AER Mapper H. Kolle Riis, Ph. Häfliger ............................................................................ 494
Fast Optoelectronic Neural Network for Vision Applications Marta Ruiz-Llata, Horacip Lamela .............................................................. 502
A Computational Tool to Test Neuromorphic Encoding Schemes for Visual Neuroprostheses
Christian A. Morillas, Samuel F. Romero, Antonio Martinez, Francisco J. Pelayo, Eduardo Fernández .................................................... 510
Test Infrastructure for Address-Event-Representation Communications R. Paz, F. Gomez-Rodriguez, M.A. Rodriguez, A. Linares-Barranco, G. Jimenez, A. Civit ...................................................................................... 518
Automatic Generation of Bio-inspired Retina-Like Processing Hardware Antonio Martínez, Leonardo M. Reyneri, Francisco J. Pelayo, Samuel F. Romero, Christian A. Morillas, Begona Pino .............................. 527
Two Hardware Implementations of Exhaustive Synthetic AER Generation Method
F. Gomez-Rodriguez, R. Paz, L. Miro, A. Linares-Barranco, G. Jimenez, A. Civit ..................................................................................... 534
On the Design of a Parallel Genetic Algorithm Based on a Modified Survival Method for Evolvable Hardware
Dong-Sun Kim, Hyun-Sik Kim, Youn-Sung Lee, Duck-Jin Chung ................ 541
A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware
B. Glackin, T.M. McGinnity, L.P. Maguire, Q.X. Wu, A. Belatreche ........... 552
A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures
A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems Grégory Mermoud, Andres Upegui, Carlos-Andres Peña, Eduardo Sanchez ......................................................................................... 572
FPGA Implementation of Hopfield Networks for Systems Identification Hafida Boumeridja, Miguel Atencia, Gonzalo Joya, Francisco Sandoval .... 582
An FPGA-Based Adaptive Fuzzy Coprocessor Antonio Di Stefano, Costantino Giaconia ..................................................... 590
Pattern Recognition
Cascade Ensembles N. García-Pedrajas, D. Ortiz-Boyer, R. del Castillo-Gomariz, C. Hervás-Martínez ...................................................................................... 598
Ensembles of Multilayer Feedforward: Some New Results Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo ..................................................................... 604
Fast Classification with Neural Networks via Confidence Rating J. Arenas-García, V. Gómez-Verdejo, S. Muñoz-Romero, M. Ortega-Moral, A.R. Figueiras-Vidal ....................................................... 622
Characterization and Synthesis of Objects Using Growing Neural Gas José García, Francisco Flórez, Juan Manuel García, Antonio Hernández ....................................................................................... 630
ARGEN + AREPO: Improving the Search Process with Artificial Genetic Engineering
Agustín León-Barranco, Carlos A. Reyes-García ........................................ 637
Perception and Robotics
Modelling Perceptual Discrimination Janet Aisbett, James T. Townsend, Greg Gibbon ......................................... 646
Memory Retrieval in a Neural Network with Chaotic Neurons and Dynamic Synapses
Zhijie Wang, Hong Fan ............................................................................... 654
Neural Network Based 3D Model Reconstruction with Highly Distorted Stereoscopic Sensors
Evolutionary Design of a Brain-Computer Interface G. Romero, M.G. Arenas, P.A. Castillo, J.J. Merelo .................................... 669
Vision-Based Walking Parameter Estimation for Biped Locomotion Imitation Juan Pedro Bandera Rubio, Changjiu Zhou, Francisco Sandoval Hernández ................................................................... 677
Designing a Control System for an Autonomous Robot Using an Evolutionary Algorithm
P.A. Castillo, G. Romero, M.G. Arenas, J.J. Merelo, A. Prieto ................... 685
Pruning Neural Networks for a Two-Link Robot Control System Jie Ni, Qing Song .......................................................................................... 693
Using PSOMs to Learn Inverse Kinematics Through Virtual Decomposition of the Robot
Vicente Ruiz de Angulo, Carme Torras ........................................................ 701
Highly Modular Architecture for the General Control of Autonomous Robots Ricardo A. Téllez, Cecilio Angulo, Diego E. Pardo ...................................... 709
Complex Behaviours Through Modulation in Autonomous Robot Control J.A. Becerra, F. Bellas, J. Santos, R.J. Duro ............................................... 717
Applications on Data Analysis and Preprocessing
Explorative Data Analysis Based on Self-organizing Maps and Automatic Map Analysis
Marc Franzmeier, Ulf Witkowski, Ulrich Rückert ........................................ 725
A Novel Optimization of Profile HMM by a Hybrid Genetic Algorithm Lifang Liu, Hongwei Huo, Baoshu Wang ..................................................... 734
Heuristic Search over a Ranking for Feature Selection Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz ................................ 742
Intrinsic Dimensionality Maps with the PCASOM Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María del Carmen Vargas-González, José Miguel López-Rubio .................. 750
Applications on Data Mining
The Curse of Dimensionality in Data Mining and Time Series Prediction Michel Verleysen, Damien François ............................................................. 758
Table of Contents XXI
Obtaining a Complex Linguistic Data Summaries from Database Based on a New Linguistic Aggregation Operator
Zheng Pei, Yajun Du, Liangzhong Yi, Yang Xu ............................................ 771
Bias and Variance of Rotation-Based Ensembles Juan José Rodriguez, Carlos J. Alonso, Oscar J. Prieto .............................. 779
Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping
Induction of Decision Trees Using an Internal Control of Induction Gonzalo Ramos-Jiménez, José del Campo-Ávila, Rafael Morales-Bueno ....... 795
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning Raúl Giráldez, Norberto Díaz-Díaz, Isabel Nepomuceno, Jesús S. Aguilar-Ruiz ..................................................................................... 804
Applications on Signal Processing
Efficient Design of Fixed Point Digital FIR Filters by Using Differential Evolution Algorithm
A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals
A. Prieto, F. Bellas, R.J. Duro, F. Lopez-Peña ............................................. 829
Voice Activity Detection Using Higher Order Statistics J.M. Górriz, J. Ramírez, J.C. Segura, S. Hornillo ........................................ 837
Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System
O. Chakkor, C.G. Puntonet, B. Pino, J.M. Gorriz ....................................... 845
A Robust Multiple Feature Approach to Endpoint Detection in Car Environment Based on Advanced Classifiers
C. Comas, E. Monte-Moreno, J. Solé-Casals .............................................. 850
Canonical Correlation Analysis Using for DOA Estimation of Multiple Audio Sources
Gaoming Huang, Luxi Yang, Zhenya He ..................................................... 857
Table of Contents XXII
Applications on Image Processing
Multilayer Perceptrons Applied to Traffic Sign Recognition Tasks R. Vicen-Bueno, R. Gil-Pita, M. Rosa-Zurera, M. Utrilla-Manso, F. López-Ferreras ......................................................................................... 865
Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition
P. Gil-Jiménez, S. Lafuente-Arroyo, S. Maldonado-Bascón, H. Gómez-Moreno ........................................................................................ 873
A Practical License Plate Recognition System for Real-Time Environments Cemil Oz, Fikret Ercal .................................................................................. 881
Matching Algorithm for Hangul Recognition Based on PDA Hyeong-Gyun Kim, Yong-Ho Kim, Jong-Geun Jeong ................................. 889
Block LDA for Face Recognition Vo Dinh Minh Nhat, Sungyoung Lee ........................................................... 899
Image Processing with CNN in a FPGA-Based Augmented Reality System for Visually Impaired People
F. Javier Toledo, J. Javier Martínez, F. Javier Garrigós, J. Manuel Ferrández...................................................................................... 906
A Gradient Descent MRI Illumination Correction Algorithm M. Garcia, E. Fernandez, M. Graña, F.J. Torrealdea ................................. 913
Multifractal Analysis of Electroencephalogram Time Series in Humans In-Ho Song, Sang-Min Lee, In-Young Kim, Doo-Soo Lee, Sun I. Kim ......... 921
Face Recognition with Improved Pairwise Coupling Support Vector Machines Huaqing Li, Feihu Qi, Shaoyu Wang ............................................................ 927
Face Recognition System Based on PCA and Feedforward Neural Networks Alaa Eleyan, Hasan Demirel ........................................................................ 935
A New Fuzzy Approach for Edge Detection Yasar Becerikli, Tayfun M. Karan ................................................................ 943
Applications on Forecasting
Fault Detection and Prediction of Clocks and Timers Based on Computer Audition and Probabilistic Neural Networks
S.Y. Chen, C.Y. Yao, G. Xiao, Y.S. Ying, W.L. Wang .................................... 952
Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach
Tobias Jung, Luis Herrera, Bernhard Schoelkopf ........................................ 960
Table of Contents XXIII
Time Series Forecast with Anticipation Using Genetic Programming Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos ............. 968
Multi-modeling: A Different Way to Design Intelligent Predictors Kurosh Madani, Lamine Thiaw, Rachid Malti, Gustave Sow ...................... 976
Input and Structure Selection for k-NN Approximator Antti Sorjamaa, Nima Reyhani, Amaury Lendasse ...................................... 985
Nonlinear Robust Identification with ∈ – GA: FPS Under Several Norms Simultaneously
J.M. Herrero, X. Blasco, M. Martínez, C. Ramos ......................................... 993
Input Selection for Long-Term Prediction of Time Series Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse ...................................... 1002
Direct and Recursive Prediction of Time Series Using Mutual Information Selection
Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse .............................. 1010
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines Marcelo Espinoza, Johan A.K. Suykens, Bart De Moor ............................. 1018
TaSe Model for Long Term Time Series Forecasting Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto ................................................................... 1027
Applications on Independent Component Analysis and Blind Source Separation
Connections Between ICA and Sparse Coding Revisited Susana Hornillo-Mellado, Rubén Martín-Clemente, Juan M. Górriz-Sáez .................................................................................... 1035
Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation
F. Rojas, J.M. Górriz, O. Valenzuela ............................................................ 1043
Robust Processing of Microarray Data by Independent Component Analysis Francisco Díaz, Raul Malutan, Pedro Gómez, Victoria Rodellar, Carlos G. Puntonet ...................................................................................... 1051
Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays
Guillermo Bedoya, Sergi Bermejo, Joan Cabestany ..................................... 1059
Table of Contents XXIV
Clustering of Signals Using Incomplete Independent Component Analysis Ingo R. Keck, Elmar W. Lang, Salua Nassabay, Carlos G. Puntonet ........... 1067
A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA
M. Böhm, K. Stadlthanner, E.W. Lang, A.M. Tomé, A.R. Teixeira, F.J. Theis, C.G. Puntonet .............................................................................. 1075
An ICA Approach to Detect Functionally Different Intra-regional Neuronal Signals in MEG Data
Giulia Barbati, Camillo Porcaro, Filippo Zappasodi, Franca Tecchio ...... 1083
Filtering-Free Blind Separation of Correlated Images Frédéric Vrins, John A. Lee, Michel Verleysen ........................................... 1091
Robust Blind Image Watermarking with Independent Component Analysis: A Embedding Algorithm
Juan José Murillo-Fuentes, Rafael Boloix-Tortosa ...................................... 1100
Applications on Power Systems
Adaptive Load Frequency Control with Dynamic Fuzzy Networks in Power Systems
Yusuf Oysal, Ahmet Serdar Yilmaz, Etem Koklukaya .................................. 1108
Fault Fuzzy Rule Extraction from AC Motors by Neuro-fuzzy Models G.I. Sainz, R. García, M.J. Fuente ................................................................ 1116
Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms Jesús Fraile-Ardanuy, Pedro J. Zufiria ........................................................ 1124
Use of ANN in a Research Reactor Power Fuzzy Controller Jorge S. Benítez-Read, Da Ruan, Jorge A. Ruiz-Enciso, Régulo López-Callejas, Joel O. Pacheco-Sotelo ........................................... 1132
Other Applications
The Use of Bayesian Networks for Subgrouping Heterogeneous Diseases Abdelaziz Ouali, Amar Ramdane Cherif, Marie-Odile Krebs ..................... 1140
An Evolutionary Environment for Wind Turbine Blade Design V. Díaz Casás, F. Lopez Peña, A. Lamas, R.J. Duro .................................... 1188
Linguistic Properties Based on American Sign Language Recognition with Artificial Neural Networks Using a Sensory Glove and Motion Tracker
Cemil Oz, Ming C. Leu ................................................................................. 1197
Crack Detection in Wooden Pallets Using the Wavelet Transform of the Histogram of Connected Elements
M.A. Patricio, D. Maravall, L. Usero, J. Rejón ............................................ 1206
A Competitive-Based Method for Determining the Number of Groups: A Clinical Application
Antonio Sánchez, Francisco Vico, Santiago Cabello, Francisco Veredas, Isaac López, Yamina Seamari, Javier Farfán, Guillermo García-Herrera ........................................................................... 1214
Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem
Eyal Kolman, Michael Margaliot .................................................................. 1222
Controlling Force Based on Radial Fuzzy Functions in High-Speed Machining Processes
Rodolfo Haber-Guerra, Rodolfo Haber-Haber, José R. Alique .................. 1230
Sequential PN Acquisition Scheme Based on a Fuzzy Logic Controller Rosa Maria Alsina, Jose Antonio Morán, Joan Claudi Socoró .................... 1238
Fuzzy Logic System for Students’ Evaluation José Antonio Montero, Rosa Maria Alsina, Jose Antonio Morán, Mariona Cid .................................................................................................. 1246
