文件名称:GRNNchangjianzuhesuanfa
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做课题时搜集的广义回归神经网络（GRNN）的常见组合算法文献-The common GRNN combining algorithm
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下载文件列表
GRNN常见组合算法\GRNN+GA\chapter3\Code.m
................\.......\........\Cross.m
................\.......\........\data.m
................\.......\........\data.mat
................\.......\........\Decode.m
................\.......\........\fun.m
................\.......\........\Genetic.m
................\.......\........\Mutation.m
................\.......\........\PSO.m
................\.......\........\Select.m
................\.......\........\test.m
................\.......\.......8\best.mat
................\.......\........\chapter8_1.m
................\.......\........\chapter8_2.m
................\.......\........\data.mat
................\.......\........\html\chapter8_1.html
................\.......\........\....\chapter8_2.html
................\.......\........\运行提示.txt
................\.......\参考文献\04154476.pdf
................\.......\........\04777963.pdf
................\.......\........\1-s2.0-S0924013607005675-main.pdf
................\.......\........\art%.pdf
................\.......\........\Prediction of etch microtrenching using a neural network.pdf
................\.......\........\与PID有关的.PDF
................\.......\........\新建 Microsoft Word 文档.doc
................\.......\........\有戏1.pdf
................\.......\........\直升机.PDF
................\.......\基于遗传算法和GRNN的棉花流量检测模型研究.pdf
................\.......\改进型免疫算法PID设计及在调速系统中的应用.pdf
................\.....PSO\06455207.pdf
................\........\1-s2.0-S1004954108601366-main.pdf
................\........\基于改进APSO-GRNN的区域物流需求预测研究.pdf
................\........\有戏1.pdf
................\........\有戏2.PDF
................\.....交叉验证\05596827.pdf
................\.............\1-s2.0-S0957417412009955-main.pdf
................\.............\yinyong.pdf
................\.............\新建 Microsoft Word 文档.doc
................\.............\更有价值.pdf
................\.............\有戏1.PDF
................\.....GA\chapter8\html
................\.......\chapter3
................\.......\chapter8
................\.......\参考文献
................\GRNN+GA
................\GRNN+PSO
................\GRNN+交叉验证
GRNN常见组合算法