Description: gA machine learning algorithm is very important to the algorithm, is currently developing the research stage, the algorithm is modeled on the human born.
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File list (Check if you may need any files):
遗传算法\源代码\IGKA\chodata.txt
........\......\....\Debug\BPN.obj
........\......\....\.....\IGKA.obj
........\......\....\.....\IGKA.pch
........\......\....\.....\IGKA.pdb
........\......\....\.....\KMEANS.obj
........\......\....\.....\vc60.idb
........\......\....\.....\vc60.pdb
........\......\....\IGKA.c
........\......\....\IGKA.dsp
........\......\....\IGKA.dsw
........\......\....\IGKA.ncb
........\......\....\IGKA.opt
........\......\....\IGKA.plg
........\......\新建文件夹\AVERAGE.C
........\......\..........\BP.C
........\......\..........\CROSSOVE.C
........\......\..........\DRAWBP.C
........\......\..........\EGAVGA.BGI
........\......\..........\FITNESS.C
........\......\..........\GA.C
........\......\..........\GA.EXE
........\......\..........\GA.IDE
........\......\..........\GAUSSIAN.C
........\......\..........\GETW.C
........\......\..........\INITIALI.C
........\......\..........\IRISGA.DAT
........\......\..........\IRISGA.RUN
........\......\..........\MAIN.C
........\......\..........\MAXIMUM.C
........\......\..........\MINIMIAL.C
........\......\..........\MUTATE.C
........\......\..........\ONECROSS.C
........\......\..........\OUTPUT.TXT
........\......\..........\SELECTIO.C
........\......\..........\TWOCROSS.C
........\......\..........\UNICROSS.C
........\......\..........\VARIANCE.C
........\......\..........\WEIGHTS.TXT
........\......\IGKA\Debug
........\......\IGKA
........\......\新建文件夹
........\源代码
遗传算法
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