Topics Covered

Biological nervous system : the bran and neurons . Artificial neural networks. Historical backgrounds. Hebbian associator . Perceptions : learning rule, illustration ,proof, failing Adaptive linear ( ADALINE) and Multiple Adaptive linear (MADALINE) networks . Multilayer perceptions: generating internal representation Back propagation, cascade correlation and counter propagation networks. Higher order and bidirectional associated memory .Hopfield networks: Lyapunov energy function. attraction basin. Probabilistic updates: simulated annealing, Boltzman machine. Adaptive Resonance Theory (ART) network ART1, ART2, Fuzzy ART mapping ( ARTMAP) networks. Kohonen's feature map, learning vector Quantization ( LVQ) networks. Applications of neural nets.