Description: This program implements the use of genetic algorithms to optimize the BP neural network, including Matlab source code and genetic algorithm toolkit. Pro test available
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File list (Check if you may need any files):
Demo_2\gabpEval.m
Demo_2\gadecod.m
Demo_2\ga_bp.m
Demo_2\html\ga_bp.html
Demo_2\html\ga_bp.png
Demo_2\html\ga_bp_01.png
Demo_2\html\ga_bp_02.png
gaot\adjswapMutation.m
gaot\arithXover.m
gaot\b2f.m
gaot\binaryExample.m
gaot\binaryMutation.m
gaot\boundaryMutation.m
gaot\calcbits.m
gaot\Contents.m
gaot\coranaEval.m
gaot\coranaFeval.m
gaot\coranaMin.m
gaot\cyclicXover.m
gaot\delta.m
gaot\dists.m
gaot\EER.m
gaot\enhancederXover.m
gaot\erXover.m
gaot\f2b.m
gaot\floatExample.m
gaot\floatGradExample.m
gaot\ga.m
gaot\gademo.m
gaot\gademo1.m
gaot\gademo1eval1.m
gaot\gademo2.m
gaot\gademo3.m
gaot\gaMichEval.m
gaot\gaotv5.ps
gaot\gaZBGrad.m
gaot\gaZBGradEval.m
gaot\heuristicXover.m
gaot\idprefs.mat
gaot\initializega.m
gaot\initializeoga.m
gaot\inversionMutation.m
gaot\linerorderXover.m
gaot\maxGenTerm.m
gaot\multiNonUnifMutation.m
gaot\nonUnifMutation.m
gaot\normGeomSelect.m
gaot\optMaxGenTerm.m
gaot\orderBasedExample.m
gaot\orderbasedXover.m
gaot\parse.m
gaot\partmapXover.m
gaot\plotCorana.m
gaot\README
gaot\roulette.m
gaot\shiftMutation.m
gaot\simpleXover.m
gaot\singleptXover.m
gaot\startup.m
gaot\swapMutation.m
gaot\threeswapMutation.m
gaot\tournSelect.m
gaot\tspEval.m
gaot\unifMutation.m
gaot\uniformXover.m
Demo_2\html
Demo_2
gaot
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