Legacy Course Catalog
PHYS 525 - Foundations And Applications Of Neural Networks
| Effectivity: | 05/19/2003 - Fall 2007 *** @ Purdue Fort Wayne Traditional |
|---|---|
| Credits: | 3 |
| Instructional Types: | Lec |
| Usually Offered: | fal spr sum |
| Short Title: | Found Appl Neural Nets |
| Description: | An introductory treatment of the fundamental principles of artificial neural networks, their implementations, and main applications. Topics to be covered include aspects of supervised learning, such as perceptrons, delta rule, back propagation, and aspects of unsupervised learning, such as vector quantization, phonotopic and somatopic maps, adaptive resonance theory, and the Hopfield Model. Applications studied include speech and character recognition, signal processing, and medical diagnosis. Two projects will be completed, one of which will be from the student's own field of interest. |
| Department: | Physics |
| Credit By Exam: | NO |
| Repeatable Flag: | NO |
| Temporary Flag: | NO |
| Full Time Privilege Flag: | NO |
| Honors Flag: | NO |
| Variable Title Flag: | NO |
Fall 2007 *** indicates the course was still an active course and was transferred to the Banner Catalog effective Spring 2008. This course was not expired Fall 2007.
