An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems
There are numerous combinations of neural networks (NNs) and evolutionary algorithms (EAs) used in classification problems. EAs have been used to train the networks, design their architecture, and select feature subsets. However, most of these combinations have been tested on only a few data sets an...
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Veröffentlicht in: | IEEE transactions on cybernetics 2005-10, Vol.35 (5), p.915-927 |
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Sprache: | eng |
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