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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. doi:10.1109/35.41397.

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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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Issue or Number:11
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:272
Deposited By: Archive Administrator
Deposited On:16 May 2005
Last Modified:08 Nov 2021 19:01

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