Fast learning of biased patterns in neural networks.
Usual neural network gradient descent training algorithms require training times of the same order as the number of neurons N if the patterns are biased. In this paper, modified algorithms are presented which require training times equal to those in unbiased cases which are of order 1. Exact converg...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
1993
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