Subject Code:: CL6L 224	Name: Neural Networks and Applications	L-T-P: 3-0-0	Credit:3
Pre-requisite(s):
Neurons and neural networks, basic models of artificial neural networks: simple layer perception, feed forward multilayer perceptron, Hopfield networks, competitive learning networks, applications of neural networks for matrix algebra problems, adaptive filtering and adaptive pattern recognition, dynamic system identification, dynamic system modeling using recurrent neural networks, approximation/optimization problems, VLSI implementation of neural networks. Text/Reference Books: 1. Vladimir M. Krasnopolsky, The Application of Neural Networks in the Earth System Sciences: Neural Network Emulations for Complex Multidimensional Mappings: Springer 2. James A. Freeman, Neural Networks: Algorithms, Applications, and Programming Techniques (Computation and Neural Systems Series); Addison-Wesley Pub.