ECE 677 - Neural Networks

3 credits
Prerequisites: ECE 521 Theory of neural networks. Topics include learning models, single and multilayer perceptrons, LMS algorithm, back propagation algorithms, radial basis function networks, Hopfield networks and Boltzman machine, self-organizing systems including Hebbian learning, Kohonen feature map algorithm, temporal processing neural networks, biological neural networks, and VLSI implementation.