EE I4700 Introduction to Neural Networks

Overview of Neurocomputing, definition of neural network, motivation to use neural network, simple perceptron, its capability and limitations, learning laws in perceptron, linear, nonlinear and stochastic units, multilayer networks, concept of hidden units, learning rules, the delta rule, the generalized delta rule, feed-back neural networks, Grossberg, Kohonen and Hopfield models, specific applications in pattern recognition and image processing problems.

Credits

3

Corequisite

EE I0100.

Contact Hours

3 hr./wk.