- Category:
- Other systems
- Tags:
-
- File Size:
- 52kb
- Update:
- 2019-05-10
- Downloads:
- 0 Times
- 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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Filename | Size | Date |
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基于遗传算法优化BP神经网络的非线性预测 | 0 | 2019-01-13
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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 |