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遗传算法优化BP神经网络

于 2020-12-30 发布

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下载积分: 1 下载次数: 10

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说明：简单的遗传算法优化bp神经网络，里面包含数据、程序(Simple genetic algorithm optimizes BP neural network, which contains data and program)

文件列表：

遗传算法优化BP神经网络, 0 , 2019-09-15
遗传算法优化BP神经网络\Mutation.m, 1602 , 2009-11-12
__MACOSX, 0 , 2019-11-06
__MACOSX\遗传算法优化BP神经网络, 0 , 2019-11-06
__MACOSX\遗传算法优化BP神经网络\._Mutation.m, 212 , 2009-11-12
遗传算法优化BP神经网络\fun.m, 1013 , 2010-11-27
__MACOSX\遗传算法优化BP神经网络\._fun.m, 212 , 2010-11-27
遗传算法优化BP神经网络\Select.m, 931 , 2019-01-25
__MACOSX\遗传算法优化BP神经网络\._Select.m, 212 , 2019-01-25
遗传算法优化BP神经网络\Decode.m, 1158 , 2009-08-31
__MACOSX\遗传算法优化BP神经网络\._Decode.m, 212 , 2009-08-31
遗传算法优化BP神经网络\data81.xlsx, 38596 , 2019-08-31
遗传算法优化BP神经网络\Cross.m, 1568 , 2019-01-25
__MACOSX\遗传算法优化BP神经网络\._Cross.m, 212 , 2019-01-25
遗传算法优化BP神经网络\Genetic.m, 4839 , 2019-09-15
__MACOSX\遗传算法优化BP神经网络\._Genetic.m, 212 , 2019-09-15
遗传算法优化BP神经网络\test.m, 291 , 2009-08-31
__MACOSX\遗传算法优化BP神经网络\._test.m, 268 , 2009-08-31
遗传算法优化BP神经网络\data.mat, 46404 , 2009-09-18
__MACOSX\遗传算法优化BP神经网络\._data.mat, 212 , 2009-09-18
遗传算法优化BP神经网络\Code.m, 420 , 2009-08-16
__MACOSX\遗传算法优化BP神经网络\._Code.m, 212 , 2009-08-16
遗传算法优化BP神经网络\data.m, 134 , 2009-09-18
__MACOSX\遗传算法优化BP神经网络\._data.m, 212 , 2009-09-18
__MACOSX\._遗传算法优化BP神经网络, 212 , 2019-09-15

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2009-02-04 22:07:32下载

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2010-11-23 17:54:50下载

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说明：遗传算法借鉴了达尔文的进化论和孟德尔的生物遗传学说，模拟大自然界生物进化机制，是一种高效、并行、全局搜索的优化方法。它能够在搜索过程中自动获取和积累有关搜索空间的知识，并自适应控制搜索过程以求得最优解。(Genetic algorithm draws on Darwin s theory of evolution and Mendel s biological genetics, simulation of the nature of biological evolution Mechanism, is an efficient, parallel, global search optimization method. It can be automatically acquired and accumulated during the search process Knowledge about the search space, and adaptive control of the search process in order to obtain the optimal solution.)

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The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function. The global minimum is inside a long, narrow, parabolic shaped flat valley. To find the valley is trivial. To converge to the global minimum, however, is difficult.

2011-08-03 22:48:30下载

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2009-06-15 21:25:36下载

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