RECENT ADVANCES in NEURAL NETWORKS

Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS (NN'09)

Prague, Czech Republic March 23-25, 2009

Artificial Intelligence Series A Series of Reference Books and Textbooks

Published by WSEAS Press ISSN: 1790-5109 www.wseas.org ISBN: 978-960-474-065-9

RECENT ADVANCES in NEURAL NETWORKS Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS (NN'09) Prague, Czech Republic March 23-25, 2009 Artificial Intelligence Series A Series of Reference Books and Textbooks Published by WSEAS Press www.wseas.org Copyright © 2009, by WSEAS Press All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press. All papers of the present volume were peer reviewed by two independent reviewers. Acceptance was granted when both reviewers' recommendations were positive. See also: http://www.worldses.org/review/index.html

ISSN: 1790-5109 ISBN: 978-960-474-065-9

World Scientific and Engineering Academy and Society

RECENT ADVANCES in NEURAL NETWORKS

Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS (NN'09)

Prague, Czech Republic March 23-25, 2009

Editors:

Prof. Nikos E. Mastorakis, Technical University of Sofia, Bulgaria Prof. Anca Croitoru, University "Al. I. Cuza" of Iasi, Romania Prof. Valentina Emilia Balas,"Aurel Vlaicu" University of Arad, Romania Prof. Eduard Son, Russian Academy of Sciences, Moscow, Russia Prof. Valeri Mladenov, Technical University of Sofia, Bulgaria International Program Committee Members: Lotfi A. Zadeh, USA Janusz Kacprzyk, POLAND Leonid Kazovsky, USA Charles Long, USA Katia Sycara, USA Roberto Revetria, USA M. Isabel Garcia-Planas, SPAIN Miguel Angel Gomez-Nieto, SPAIN Akshai Aggarwal, CANADA Pierre Borne, FRANCE George Stavrakakis, GREECE Angel Fernando Kuri Morales, MEXICO Arie Maharshak, ISRAEL Fumiaki Imado, JAPAN Simona Lache, ROMANIA Toly Chen, TAIWAN Isak Taksa, USA G. R.Dattatreya, USA Branimir Reljin, SERBIA Paul Cristea, ROMANIA

Preface

This year the 10th WSEAS International Conference on NEURAL NETWORKS (NN'09) was held in Prague, Czech Republic. The Conference remains faithful to its original idea of providing a platform to discuss theoretical and applicative aspects of learning theory, supervised and unsupervised learning, architectures of NN, clustering, hybrid and knowledge based networks, neuro-fuzzy systems, neurodynamics and attractor networks, neurobiology and neurosciences etc. with participants from all over the world, both from academia and from industry.

Its success is reflected in the papers received, with participants coming from several countries, allowing a real multinational multicultural exchange of experiences and ideas.

The accepted papers of this conference are published in this Book that will be indexed by ISI. Please, check it: www.worldses.org/indexes as well as in the CD-ROM Proceedings. They will be also available in the E-Library of the WSEAS. The best papers will be also promoted in many Journals for further evaluation.

A Conference such as this can only succeed as a team effort, so the Editors want to thank the International Scientific Committee and the Reviewers for their excellent work in reviewing the papers as well as their invaluable input and advice.

The Editors

Table of Contents

Plenary Lecture: Advances in Automated Diagnostic Systems 9 Elif Derya Ubeyli Teachable Characters: Semantic Neural Networks in Game AI 11 Harri Ketamo A New CMOS Current-Mode Classifier Circuit for Statistics Applications 17 Cosmin Popa CMOS Computation Circuits with Increased Accuracy using FGMOS Transistors 21 Cosmin Popa Study of Relationship between ICT and Economic Growth (Neural Network Approach) 25 Omid Khodaveyrdi, Arezoo Mohandessi, Hossien Nemati A Differential Adaptive Learning Rate Method for Back-Propagation Neural Networks 30 Saeid Iranmanesh Model for Estimating Venezuelan Population with Working Age using Artificial Neural Networks

35

Samaria Munoz-Bravo, Anna Perez-Mendez, Francklin Rivas-Echeverria Stress Smoothing in Hexaedrons using Artificial Neural Networks 41 Leonardo Ivirma, Mary Vergara, Sebastian Provenzano, Francklin Rivas, Anna Perez, Francisco Fuenmayor Prediction of Chaotic Time Series using Neural Network 47 Hamid Yazdani An Artificial Neural Network Model for the Lifetime Estimation of Wood Poles Supporting the Overhead Hellenic Electrical Distribution Network

55

C. A. Christodoulou, D. S. Oikonomou, P. M. Kyrtsopoulos, L. Ekonomou, N. Harkiolakis Self-Οrganizing Content Management with Semantic Neural Networks 63 Harri Ketamo Advances in Automated Diagnostic Systems 69 Elif Derya Ubeyli Short Term Load Forecasting in Greek Intercontinental Power System using ANNs: Α Study for Input Variables

75

G. J. Tsekouras, F. D. Kanellos, V. T. Kontargyri, C. D. Tsirekis, I. S. Karanasiou, Ch. N. Elias, A. D. Salis, P. A. Kontaxis, N. E. Mastorakis

Emotion Recognition using Neural Networks 82 Mehmet S. Unluturk, Kaya Oguz, Coskun Atay Automated Plaque Diagnosis Utilizing Levenberg Marquardt & Radial Basis Function with Supervised Training of Chromatic Colors

86

Hadzli Hashim, Fairul Nazmie Osman, Norkhairiane Khairudin Neural Network for Audio Visual Moving Robot Tracking to Speaking Person 92 Alexander Bekiarski, Snejana Pleshkova

Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS

ISSN: 1790-5109 7 ISBN: 978-960-474-065-9

Audio Visual System with Cascade-Correlation Neural Network for Moving Audio Visual Robot 96 Alexander Bekiarski Image Recognition with Neural Classifiers in Micromechanics and Agriculture 100 Tatiana Baidyk, Ernst Kussul, Oleksandr Makeyev, Alejandro Vega Concept of Artificial Neural Network (ANN) and its Application in Cerebral Aneurism with Multi Walls Carbon Nanotubes (MWCNT)

104

Rodica-Mariana Ion, Daniel Munteanu, George-Costel Cocina Spreading of Signal and Energy in the Electronic, Chemical and Mechanical Human Brain 108 Grmela Ales Determining the Optimal Percent of Negative Examples used in Training the Multilayer Perceptron Neural Networks

114

Cosmin Cernazanu-Glavan, Stefan Holban Enhanced Human Identification System using Dental Biometrics 120 Swarnalatha Purushotham, Margret Anouncia Time Series Prediction of Respiratory Motion for Lung Tumor Tracking Radiation Therapy 126 Noriyasu Homma, Masao Sakai, Yoshihiro Takai An Artificial Neural Network Digital Design for Time Difference of Arrival Method used on Passive Multistatic Radars

132

Nikos J. Farsaris Review of Development of Nonconventional Neural Architectures at the Czech Technical University in Prague

138

Jiri Bila, Ivo Bukovsky, Jakub Jura Discovering Potential Musical Instruments Teachers Using Data Clustering Approach 147 Cheng-Fa Tsai, Yu-Tai Su, Chiu-Yen Tsai, Chun-Yi Sung Coding Capacity of Synchronous Neuronal Activity: Reliable Sparse Code by Synchrony within a Dendritic Compartment

153

Marton A. Hajnal Impact of Weather Inputs on Heating Plant - Agglomeration Modeling 159 Pavel Varacha Malay Language Document Identification using BPNN 163 Norzaidah Md Noh, Mohd Rusydi Abdul Talib, Azlin Ahmad, Shamimi A. Halim, Azlinah Mohamed Fast Virus Detection by using High Speed Time Delay Neural Networks 169 Hazem M. El-Bakry, Nikos Mastorakis Non Destructive Techniques of Automatic Shape Classification of Vegetal Products 184 Marius. Buzera, Valentina E. Balas, Gabriela Prostean, Nikos E. Mastorakis Authors Index 188

Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS

ISSN: 1790-5109 8 ISBN: 978-960-474-065-9

Plenary Lecture

Advances in Automated Diagnostic Systems

Associate Professor Elif Derya Ubeyli

TOBB University of Economics and Technology, Faculty of Engineering Department of Electrical and Electronics Engineering

06530 Sogutozu, Ankara, Turkey E-mail address: edubeyli@etu.edu.tr

Abstract: ANN models are computational modeling tools that have recently emerged and found extensive acceptance in many disciplines for modeling complex real-world problems. ANNs produce complicated nonlinear models relating the inputs (the independent variables of a system) to the outputs (the dependent predictive variables). ANNs are valuable tools in the medical field for the development of decision support systems. Important tools in modern decision-making, in any field, include those that allow the decision-maker to assign an object to an appropriate group, or classification. Clinical decision-making is a challenging, multifaceted process. Its goals are precision in diagnosis and institution of efficacious treatment. Achieving these objectives involves access to pertinent data and application of previous knowledge to the analysis of new data in order to recognize patterns and relations. Practitioners apply various statistical techniques in processing data to assist in clinical decision-making and to facilitate the management of patients. As the volume and complexity of data have increased, use of digital computers to support data analysis has become a necessity. In addition to computerization of standard statistical analysis, several other techniques for computer-aided data classification and reduction, generally referred to as ANN, have evolved. The ANN model discussed above has expanded in two directions. First, time series analysis and medical image analysis supply important parameters to medical decision making process and the parameters can be used as the input of the ANN model. The second direction of expansion includes databases available locally or through internet access. In the present study, advances in automated diagnostic systems will be presented. Brief Biography of the Speaker: Elif Derya Ubeyli (http://edubeyli.etu.edu.tr/) is an Associate Professor at the Department of Electrical and Electronics Engineering, TOBB University of Economics and Technology. She obtained Ph.D. degree in Electronics and Computer Technology from the Gazi University in 2004. She has worked on variety of topics including biomedical signal processing, neural networks, optimization and artificial intelligence. She has worked on several projects related with biomedical signal acquisition, processing and classification. Dr. Ubeyli has served (or is currently serving) as a program organizing committee member of the national and international conferences. She is editorial board member of several scientific journals (Journal of Engineering and Applied Sciences; International Journal of Soft Computing; Research Journal of Applied Sciences; Research Journal of Medical Sciences; Scientific Journals International/Electrical, Mechanical, Manufacturing, and Aerospace Engineering; The Open Medical Informatics Journal; Bulletin of the International Scientific Surgical Association). She is Associate Editor of Expert Systems. She is serving as a guest editor to the Expert Systems on a special issue on “Advances in Medical Decision Support Systems”. Moreover, she is voluntarily serving as a technical publication reviewer for many respected scientific journals and conferences. She has also published 118 journal and 44 conference papers on her research areas.

Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS

ISSN: 1790-5109 9 ISBN: 978-960-474-065-9

Authors Index Abdul Talib, M. R. 163 Holban, S. 114 Oguz, K. 82 Ahmad, A. 163 Homma, N. 126 Oikonomou, D. S. 55 Ales, G. 108 Ion, P. M. 104 Osman, F. N. 86 Anouncia, M. 120 Iranmanesh, S. 30 Pleshkova, S. 92 Atay, C. 82 Ivirma, L. 41 Popa, C. 17, 21Baidyk, T. 100 Jura, J. 138 Prostean, G. 184 Balas, V. E. 184 Kanellos, F. D. 75 Provenzano, S. 41 Bekiarski, A. 92, 96 Karanasiou, I. S. 75 Purushotham, S. 120 Bila, J. 138 Ketamo, H. 11, 63 Rivas, F. 41 Bukovsky, I. 138 Khairudin, N. 86 Sakai, M. 126 Buzera, M. 184 Khodaveyrdi, O. 25 Salis, A. D. 75 Cernazanu-Glavan,C. 114 Kontargyri, V. T. 75 Su, Y. T. 147 Christodoulou, C. A. 55 Kontaxis, P. A. 75 Sung, C. Y. 147 Cocina, G. C. 104 Kussul, E. 100 Takai, Y. 126 Echeverria, F. R. 35 Kyrtsopoulos, P. A. 55 Tsai, C. F. 147 Ekonomou, L. 55 Makeyev, O. 100 Tsai, C. Y. 147 El-Bakry, H. 169 Mastorakis, N. E. 75, 169, 184 Tsekouras, G. J. 75 Elias, C. N. 75 Md Noh, N. 163 Tsirekis, C. D. 75 Farsaris, N. J. 132 Mendez, A. P. 35, 41 Ubeyli, E. D. 69 Fuenmayor, F. 41 Mohamed, A. 163 Unluturk, M. S. 82 Hajnal, M. A. 153 Mohandess, A. 25 Varacha, P. 159 Halim, S. A. 163 Munoz-Bravo, S. 35 Vega, A. 100 Harkiolakis, N. 55 Munteanu, D. 104 Vergara, M. 41 Hashim, H. 86 Nemat, H. 25 Yazdani, H. 47

Proceedings of the 10th WSEAS International Conference on NEURAL NETWORKS

ISSN: 1790-5109 188 ISBN: 978-960-474-065-9