Published November 1989
| Published
Journal Article
Open
Information theory, complexity and neural networks
- Creators
- Abu-Mostafa, Yaser S.
Abstract
Some of the main results in the mathematical evaluation of neural networks as information processing systems are discussed. The basic operation of feedback and feed-forward neural networks is described. Their memory capacity and computing power are considered. The concept of learning by example as it applies to neural networks is examined.
Additional Information
"© 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."Attached Files
Published - ABUieeecm89.pdf
Files
ABUieeecm89.pdf
Files
(735.2 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:72718e3e5b1defd093c41775fd350c18
|
735.2 kB | Preview Download |
Additional details
- Eprint ID
- 272
- Resolver ID
- CaltechAUTHORS:ABUieeecm89
- Created
-
2005-05-16Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field