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MTL720

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MTL720
Neurocomputing and Applications
Credits 3
Structure 3-0-0
Pre-requisites
Overlaps

MTL720 : Neurocomputing and Applications

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Biological and Artificial Neuron, Perceptron model, Adaline model, Multilayered feedforward networks, Activation functions, Back-propagation 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.