EE 550

Course Name: 
Artificial Neural Networks
Course Credit: 
3
Course Description: 
Principles of Neural Computing. Architectural analysis of different neural network models (Hopfield model, Single Perceptron, Multilayer Perceptron etc.). Learning algorithms. Back propagation algorithm and local minima problem. Dynamics of recurrent neural networks. Applications of neural networks for control systems, system identification, associative memories, optimization problem etc. Computer simulation homeworks and final project.