BY

S.KARTHIKEYAN

ARTIFICIAL NEURAL NETWORKS

Agenda

Basic definitions Debates Human Brain Anatomy Network Structure Learning methods Applications Conclusion

Basic Definitions

An artificial neural network (ANN), usually called "neural network" (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks....

This is a type of computer program which aims to model the human brain to solve complex problems. Also known as an ANN.

Computer technology that attempts to build computers that operate like a human brain. The machines possess simultaneous memory storage and work with ambiguous information. Sometimes called, simply, a neural network.

Debates

Or

Perceptron

The perceptron is one of the earliest neural networks. Invented at the Cornell Aeronautical Laboratory in 1957 by Frank Rosenblatt, the Perceptron was an attempt to understand human memory, learning, and cognitive processes. In 1960, Rosenblatt demonstrated the Mark I Perceptron. The Mark I was the first machine that could “learn” to identify optical patterns.

Linear/Nonlinearly Separable

Human Brain Anatomy

We need to know the anatomy of a human brain to understand how it is implemented in an artificial manner

Artificial Neuron

McCulloch-Pitts in 1943The next major development in neural

network technology arrived in 1949 with a book, "The Organization of Behavior" written by Donald Hebb

John von Neumann thought of imitating simplistic neuron functions by using telegraph relays or vacuum tubes. This led to the invention of the von Neumann machine.

Network Structure

Feed forwardFeed back or Recurrent

Feed forward Architecture

Feed back or Recurrent

Learning

3 types of Learning as Supervised Learning Unsupervised Learning Reinforcement Learning

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Applications of ANN

Destruction

Destructions made when the robots are designed with some strange logics.

Let us watch a video trailer which illustrate how the destructions takes place.

Conclusion

Artificial Neural Network is an efficient way to find an useful pattern from the available information. Even though ANN provide high degree of accuracy its training time becomes a major destructive fact.

If the machines are subject to the control of human beings then there is no problem around us. Otherwise it will lead to disasters.