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Shenjinwangluo

  • Category : matlab
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  • Update : 2013-04-03
  • Size : 227kb
  • Downloaded :1次
  • Author :lian****
  • About : Nobody
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Introduction - If you have any usage issues, please Google them yourself
(1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.
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yuce\fanloudian.xls
....\hs_err_pid1256.log
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....\jianyanshuju.m
....\jiemian.asv
....\jiemian.fig
....\jiemian.m
....\RBFyuce.m
....\xunlianmubiao.xlsx
....\xunlianyanben.xlsx
....\yuce.asv
....\yuce.m
....\yucemubiao.xlsx
....\yucetest.xlsx
....\反漏窃电样本.xls
....\精度图.docx
yuce
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