ARTIFICIAL NEURAL NETWORK Intramantra Global Solution PVT LTD, Indore A SEMINAR ON ARTIFICIAL NEURAL NETWORK Presented by Intramantra Global Solution PVT LTD, Indore http://intramantra.com

INTRODUCTION Artificial neural network is a graph like structure developed artificially to be automated. McCulloch and Pitts were credited with the development of first artificial neural network. Other scientists who contributed in this field were:- Asbhy (1952) Minsky (1954) Minsky and Selfridge (1961) Block (1962) Rosenblatt (1962)

ANALOGY TO THE BRAIN The neural network rather receives the inspiration from the known facts about the functioning of brain instead of duplicating them. The emphasis is given on ‘brain metaphor' rather on ‘digital computing metaphor’. Thus new neural networks are dubbed connectionist system.

BIOLOGICAL NEURON DENDRITES SOMA AXON SYNAPSES

ARTIFICIAL NEURON I/P-x Weights-w x1 w1 x2 w2 Sum Transfer O/P wn PROCESSING ELEMENT xn

NEURAL NET ARCHITECTURE 1) Inter Connections Fully connected Partially connected Layered network Acyclic network Feed Forward Modular network

LAYERED NETWORK Input layer Hidden layer Output layer

LEARNING Learning denotes changes in the system that are adaptive in the sense that they enable the system to do the same task drawn from the same population more efficiently and more effectively the next time. There are the schemes : Rote Learning Reinforcement Learning Unsupervised Learning

LEARNING LAWS HEBB’S RULE “The neuron recieves an input from an another neuron, and if both are highly active, the weight between the neuron should be strengthened. HOPFIELD’S LAW “If the desired output and the input are both active or both inactive, increment the connection weight by the learning rate ,otherwise decrement the weight by learning rate.

DELTA RULE “This rule changes the connection weights in the way that minimizes the mean squared error of the network. This rule is also referred to as the Windrow - Hoff rule and the Least mean square learning rule

APPLICATIONS ^ IN MEDICINE * Diagonising the cardit vascular system * Instant physician * Detection and reconstruction of odour b ANN’s ^ IN BUSINESS * Marketing * Credit evaluation ^ IN PRACTICE

ADVANTAGES & DISADVANTAGES

CONCLUSION

QUERIES