Babasaheb Ambedkar University
MCA Syllabus
Neural Network
UNIT I
Introduction and Motivation, Bilogical Neural Network and Simple Models, The Artificial Neuron Model, Hopfield Nets, Energy Functions and Optimization.
UNIT II
Perceptions and Threshold Logic Machines, Multilayer Networks ? Their Variants and Applications, Capacity of Multilayer Networks.
UNIT III
Backpropagation Recurrent Nets, Tree Structured Networks, Unsupervised Learning, Hebbian Learning, Principal Component Analysis Competitive Learning, Feature Mapping.
UNIT IV
Self Organising Maps Adaptive Resonance Theory, Hardware Relization of ANNs, Recent Trends and Future Directions.
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