中文说明:
基本分类、预测、回归算法,适合初学者学习,具有注释性,易于理解。
English Description:
Basic classification, prediction, regression algorithm, suitable for beginners to learn, with comments, easy to understand.关注次数: 498
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文件大小: 4975KB
中文说明:
基本分类、预测、回归算法,适合初学者学习,具有注释性,易于理解。
English Description:
Basic classification, prediction, regression algorithm, suitable for beginners to learn, with comments, easy to understand.算法
....\ANN的预测算法
....\.............\data1.mat
....\.............\data2.mat
....\.............\FuzzyNet.m
....\ELM
....\...\classification
....\...\..............\data.mat
....\...\..............\elmpredict.m
....\...\..............\elmtrain.m
....\...\..............\main.m
....\...\..............\Readme.txt
....\...\regression
....\...\..........\data.mat
....\...\..........\elmpredict.m
....\...\..........\elmtrain.m
....\...\..........\main.m
....\...\..........\Readme.txt
....\GA算法
....\......\data.mat
....\......\de_code.m
....\......\fitness.m
....\......\gabpEval.m
....\......\gadecod.m
....\......\gaot
....\......\....\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
....\......\main.m
....\......\Readme.txt
....\IWO改进
....\.......\fitness.m
....\.......\IWO.m
....\IWO经典算法
....\...........\iwo_basic.asv
....\...........\iwo_basic.m
....\...........\IWO_PD_Optim.mdl
....\...........\objectFun.m
....\LVQ神经网络的预测
....\.................\chapter27_bp.m
....\.................\chapter27_lvq.m
....\.................\chapter_svm.m
....\.................\crossvalind_lvq.m
....\.................\feature_extraction.m
....\.................\Images