Computer Science
| CS5725 | Neural Networks (O) | 4 ch (3C 1T) |
|---|---|---|
Introduction to the theory, architectures, and application of Neural Networks. Topics include fundamental models of artificial neural networks, learning rules, supervised, unsupervised and reinforcement learning in single and multi-layer neural networks, radial-basis function networks, principal component analysis, self-organizing maps,adaptive resonance theory, stochastic machines, learning capacity and generalization. Prerequisites: CS 2333 and 3 terms of calculus and statistics. | ||
