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Titlebook: Gene Expression Programming; Mathematical Modelin Candida Ferreira Book 2006Latest edition Springer-Verlag Berlin Heidelberg 2006 algorithm

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發(fā)表于 2025-3-25 07:25:14 | 只看該作者
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發(fā)表于 2025-3-25 08:35:13 | 只看該作者
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發(fā)表于 2025-3-25 14:08:39 | 只看該作者
Design of Neural Networks,ons between the units or nodes are usually weighted by real-valued weights. Weights are the primary means of learning in neural networks, and a learning algorithm is usually used to adjust the weights.
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發(fā)表于 2025-3-25 16:15:27 | 只看該作者
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發(fā)表于 2025-3-25 20:37:13 | 只看該作者
Candida FerreiraPresents an exciting new development out of Genetic Algorithms.Includes supplementary material:
26#
發(fā)表于 2025-3-26 00:37:15 | 只看該作者
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發(fā)表于 2025-3-26 07:17:54 | 只看該作者
Decision tree induction is extremely popular in data mining, with most currently available techniques being refinements of Quinlan’s original work (Quinlan 1986). His divide-and-conquer approach to decision tree induction involves selecting an attribute to place at the root node and then make the same decision about every other node in the tree.
28#
發(fā)表于 2025-3-26 10:59:04 | 只看該作者
Numerical Constants and the GEP-RNC Algorithm,Numerical constants are an integral part of most mathematical models and, therefore, it is important to allow their integration in the models designed by evolutionary techniques.
29#
發(fā)表于 2025-3-26 13:47:36 | 只看該作者
Decision Tree Induction,Decision tree induction is extremely popular in data mining, with most currently available techniques being refinements of Quinlan’s original work (Quinlan 1986). His divide-and-conquer approach to decision tree induction involves selecting an attribute to place at the root node and then make the same decision about every other node in the tree.
30#
發(fā)表于 2025-3-26 19:38:24 | 只看該作者
https://doi.org/10.1007/3-540-32849-1algorithms; artificial intelligence; combinatorial optimization; computer; logic; modeling; optimization; p
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