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Information theory, complexity and neural networks

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

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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.


Item Type:Article
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Record Number:CaltechAUTHORS:ABUieeecm89
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:ABUieeecm89
Alternative URL:http://dx.doi.org/10.1109/35.41397
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:272
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:16 May 2005
Last Modified:26 Dec 2012 08:39

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