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On a general class of absorbing-barrier learning algorithms

✍ Scribed by U. Herkenrath; D. Kalin; S. Lakshmivarahan


Book ID
107766426
Publisher
Elsevier Science
Year
1981
Tongue
English
Weight
469 KB
Volume
24
Category
Article
ISSN
0020-0255

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The ability of a neural network with one hidden layer to accurately learn a specified learning set increases with the number of nodes in the hidden layer; if a network has exactly the same number of internal nodes as the number of examples to be learnt, it is theoretically able to learn these exampl