This algorithm uses genetic algorithm BP network weights optimization threshold, then BP algorithm to train network, the use of genetic algorithms to optimize the network, the weight matrix will initially been assigned to BP network has not started training.

GABP\adjswapMutation.m
....\arithXover.m
....\b2f.m
....\binaryExample.m
....\binaryMutation.m
....\boundaryMutation.m
....\calcbits.m
....\Contents.m
....\coranaEval.m
....\coranaFeval.m
....\coranaMin.m
....\cyclicXover.m
....\data2.mat
....\delta.m
....\dists.m
....\EER.m
....\enhancederXover.m
....\erXover.m
....\f2b.m
....\floatExample.m
....\floatGradExample.m
....\ga.m
....\gabpEval.m
....\GABPNET(全）.m
....\GABPNET.m
....\gadecod.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
....\README
....\roulette.m
....\shiftMutation.m
....\simpleXover.m
....\singleptXover.m
....\swapMutation.m
....\threeswapMutation.m
....\tournSelect.m
....\tspEval.m
....\unifMutation.m
....\uniformXover.m
....\Untitled.m
GABP

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