代码搜索:Gene

找到约 6,556 项符合「Gene」的源代码

代码结果 6,556
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h gene.h

// Gene.h: interface for the Gene class. // ////////////////////////////////////////////////////////////////////// #if !defined(AFX_GENE_H__4467C7D0_69E0_48C0_A6B8_2FAF99806DFA__INCLUDED_) #defi
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cpp gene.cpp

// Gene.cpp: implementation of the Gene class. // ////////////////////////////////////////////////////////////////////// #include "stdafx.h" #include "GA.h" #include "Gene.h" #include
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train gene.train

1588 120 3 -1 1 -1 -1 1 1 -1 1 -1 -1 1 1 -1 -1 1 -1 1 -1 -1 1 -1 1 -1 -1 -1 1 -1 1 -1 1 -1 1 1 -1 -1 1 1 -1 -1 1 -1 1 -1 1 -1 1 1 1 1 -1 -1 -1 -1 1 1 -1 -1 1 -1 1 -1 1 -1 1 1 1 1 1 -1 -1 -1 -1 -1 -1 -
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test gene.test

1587 120 3 -1 -1 1 1 1 -1 1 1 -1 -1 1 1 -1 -1 -1 -1 1 1 1 -1 1 -1 1 -1 1 1 1 1 1 -1 -1 -1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 1 1 -1 1 -1 -1 -1 1 1 1 -1 -1 -1 1 1 1 -1 1
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log gene.log

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dsw gene.dsw

Microsoft Developer Studio Workspace File, Format Version 6.00 # WARNING: DO NOT EDIT OR DELETE THIS WORKSPACE FILE! ###############################################################################
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ncb gene.ncb

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opt gene.opt

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m gene.m

用遗传算法优化BP神经网络的Matlab编程实例 [引用 2007-08-29 21:14:08] 字号: 大 中 小 由于BP网络的权值优化是一个无约束优化问题,而且权值要采用实数编码,所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量,1个输出变量情况下的非线性回归而设计的,如果要应用于其它情况,只需改动编解码函数即可。 程序一:GA训练BP权值 ...
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m gene.m

function varargout = gene(varargin) gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFc