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Title: 基于遗传算法优化BP神经网络的非线性预测 Download
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  • Other systems
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  • File Size:
  • 52kb
  • Update:
  • 2019-05-10
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  • Uploaded by:
  • kasino
 Description: Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and thresholds of BP, and then BP training and testing are carried out. Genetic algorithm includes coding selection, crossover and mutation.
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FilenameSizeDate
基于遗传算法优化BP神经网络的非线性预测 0 2019-01-13
基于遗传算法优化BP神经网络的非线性预测\BP.m 798 2019-01-13
基于遗传算法优化BP神经网络的非线性预测\Code.m 420 2009-08-16
基于遗传算法优化BP神经网络的非线性预测\Cross.m 1556 2009-08-31
基于遗传算法优化BP神经网络的非线性预测\Decode.m 1158 2009-08-31
基于遗传算法优化BP神经网络的非线性预测\Mutation.m 1602 2009-11-12
基于遗传算法优化BP神经网络的非线性预测\Select.m 825 2010-05-26
基于遗传算法优化BP神经网络的非线性预测\data.mat 46404 2009-09-18
基于遗传算法优化BP神经网络的非线性预测\fun.m 1049 2010-01-06
基于遗传算法优化BP神经网络的非线性预测\main_function.m 4331 2017-04-17
基于遗传算法优化BP神经网络的非线性预测\test.m 291 2009-08-31

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