Neural Networks
General
Prefix
ECE
Course Number
473
Course Level
Undergraduate
Department/Unit(s)
College/School
College of Science and 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
Credits
Min
3
Max
3
Repeatable
No
Goals and Diversity
MN Goal Course
No
Cultural Diversity
No
Learning Outcomes
Outcome
Design and train back propagation neural networks, self-organizing maps Hopfield neural networks, and other specific types of neural networks.
Outcome
Write programs and run neural network simulations in MATLAB.