Information theory, complexity and neural networks
CaltechAUTHORS
View Archive Info| Field | Value | |
| Title |
Information theory, complexity and neural networks
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| Creator |
Abu-Mostafa, Yaser S.
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| Subject |
Caltech Library Services
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| Description |
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.
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| Date |
1989-11
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://authors.library.caltech.edu/272/1/ABUieeecm89.pdf
Abu-Mostafa, Yaser S. (1989) Information theory, complexity and neural networks. IEEE Communications Magazine, 27 (11). 25-28, 82. ISSN 0163-6804. http://resolver.caltech.edu/CaltechAUTHORS:ABUieeecm89 <http://resolver.caltech.edu/CaltechAUTHORS:ABUieeecm89> |
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| Relation |
http://resolver.caltech.edu/CaltechAUTHORS:ABUieeecm89
http://authors.library.caltech.edu/272/ |
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