MTL720: Neurocomputing and Applications

3 Credits (3-0-0)

Biological and Artificial Neuron, Perceptron model, Adaline model, Multilayered feedforward networks, Activation functions, Backpropagation algorithm and its improvements, Conjugate Gradient Neural Network, Applications of Back-propagation algorithm to Statistical Pattern Classification, Feature selection, Classification and regression problems, General Regression Neural Networks, Hopfield Network, Recurrent networks, Probabilistic Neural Networks, Kohonen’s self-organizing maps with quadratic junctions and its applications to character recognition, Adaptive Resonance Theory model, Applications of ART model for knowledge acquisition.