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" Gaussian random variable with zero mean and a standard deviation of 0.05, and 2. With a probability of 0.5, the number of nodes in the hidden layer was allowed to vary. If a change was indicated, there was an equal likelihood that a node would be added... "
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence - Стр. 186
авторы: David B. Fogel - 2006 - Страниц: 296
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Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on ...

John R. McDonnell, Robert G. Reynolds - 1995 - Страниц: 840
...[0,0.5] e [0,0.0005] € [0,10-6] e [0,10-9] a d e [0,5] One offspring was generated from each parent by adding a Gaussian random variable with zero mean and a standard deviation equal to the corresponding perturbation term to each parameter in [a, ß, dg/ &\, &i, ¿3, if]. If...
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Evolutionary Computation: Principles and Practice for Signal Processing

David B. Fogel - 2000 - Страниц: 188
...0.0005] arf2 e [0, 10-6] CTd3 e [0, 10'9] od e [0, 5] One offspring was generated from each parent by adding a Gaussian random variable with zero mean and a standard deviation equal to the corresponding perturbation term to each parameter in [a, (3, d0, d\, d2, d3, d\. If the...
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