Neural networks: neuron models and network architectures, perceptrons, Widrow-Hoff learning and backpropagation algorithm, associative memory, Hebbian learning, pseudo-inverse learning. Fuzzy systems: basic operations and properties of fuzzy sets; fuzzy rule generation and defuzzification of fuzzy logic; fuzzy neural networks. Applications such as pattern recognition, character recognition, stock market prediction, and control.
This course may not be repeated for credit.
Prerequisite(s)
- Electrical Engineering 327.
Antirequisite(s)
- Credit for Electrical Engineering 525 and either Software Engineering for Engineers 411 or 544 will not be allowed.
Sections
This course will be offered next in
Fall 2021.