PH 538 - Introduction to Neural Networks
- Credit Hours: 3R-3L-4C
- Term Available: -
- Graduate Studies Eligible: No
- Prerequisites: Arranged prerequisite and Senior or Graduate Standing
- Corequisites: None
Classifiers, linear separability. Supervised and unsupervised learning. Perceptrons. Back-propagation. Feedback networks. Hopfield networks. Associative memories. Fuzzy neural networks. Integral laboratory.