Neural Networks

Catalog description

Biological neurons and their modeling. An overview of single/multilayer feedforward/back ANN models and learning rules, single layer perceptron model, multi-layer feedforward error backpropagation, recurrent associative memory, Hopfield model, multilayer ANNs for clustering & competitive learning, Hamming/Max, un/supervised learning, Kohonen SOFM, Learning Vector Quantization, counter propagation ANN model, Adaptive Resonance Theory model. ANNs applications (projects).