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ECE 473. Neural Networks

Credits: 3
Department: Electrical & Computer Engineering
Description: Neural network technology overview, back propagation, conjugate gradient, and cascade-correlation training methods, associative memory, self-organizing nets, adaptive resonance theory net, Hopfield net, constraint satisfaction networks, application and design. Additional project required for graduate credit.
Prerequisites: ECE 471
Semester Offered: DEMAND
Grading Method: ABCDF

Student Learning Outcomes

1. Design and train back propagation neural networks, self-organizing maps Hopfield neural networks, and other specific types of neural networks.
2. Write programs and run neural network simulations in MATLAB.

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