BP算法的源代码,用于故障诊断我要分享

BP algorithm source code for fault diagnosis

ga-bp 数据归一化 ga_bp故障诊断 GA-BP-诊断 bp故障诊断

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代码分类: 智能算法

开发平台: matlab

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代码描述

中文说明:

BP算法的源代码,用于故障诊断 ,包括了数据归一化和参数选择。


English Description:

BP algorithm source code for fault diagnosis, including data normalization and parameter selection.


代码预览

遗传算法和神经网络在导弹测试设备故障诊断中的应用研究

....................................................\readme.doc

....................................................\程序

....................................................\....\bpfault.m

....................................................\....\bppfault.m

....................................................\....\gabpEval.m

....................................................\....\gabpfault.m

....................................................\....\gadecod.m

....................................................\....\gafault.m

....................................................\....\nninit.m

....................................................\遗传工具箱

....................................................\..........\adjswapMutation.m

....................................................\..........\arithXover.m

....................................................\..........\b2f.m

....................................................\..........\binaryExample.m

....................................................\..........\binaryMutation.m

....................................................\..........\boundaryMutation.m

....................................................\..........\calcbits.m

....................................................\..........\Contents.m

....................................................\..........\coranaEval.m

....................................................\..........\coranaFeval.m

....................................................\..........\coranaMin.m

....................................................\..........\cyclicXover.m

....................................................\..........\delta.m

....................................................\..........\dists.m

....................................................\..........\EER.m

....................................................\..........\enhancederXover.m

....................................................\..........\erXover.m

....................................................\..........\f2b.m

....................................................\..........\floatExample.m

....................................................\..........\floatGradExample.m

....................................................\..........\ga.m

....................................................\..........\gademo.m

....................................................\..........\gademo1.m

....................................................\..........\gademo1eval1.m

....................................................\..........\gademo2.m

....................................................\..........\gademo3.m

....................................................\..........\gaMichEval.m

....................................................\..........\gaotv5.ps

....................................................\..........\gaZBGrad.m

....................................................\..........\gaZBGradEval.m

....................................................\..........\heuristicXover.m

....................................................\..........\initializega.m

....................................................\..........\initializeoga.m

....................................................\..........\inversionMutation.m

....................................................\..........\linerorderXover.m

....................................................\..........\maxGenTerm.m

....................................................\..........\multiNonUnifMutation.m

....................................................\..........\nonUnifMutation.m

....................................................\..........\normGeomSelect.m

....................................................\..........\optMaxGenTerm.m

....................................................\..........\orderBasedExample.m

....................................................\..........\orderbasedXover.m

....................................................\..........\parse.m

....................................................\..........\partmapXover.m

....................................................\..........\plotCorana.m

....................................................\..........\htm" target=_blank>README

....................................................\..........\roulette.m

....................................................\..........\shiftMutation.m

....................................................\..........\simpleXover.m

....................................................\..........\singleptXover.m

....................................................\..........\startup.m

....................................................\..........\swapMutation.m

....................................................\..........\threeswapMutation.m

....................................................\..........\tournSelect.m

....................................................\..........\tspEval.m

....................................................\..........\unifMutation.m

....................................................\..........\uniformXover.m

....................................................\遗传算法和神经网络在导弹测试设备故障诊断中的应用研究.doc