搜索资源列表
GA_SVM
- GA/SVM 程序包含三个文件: 1。MainGA12.m 2。selectGA12.m 3。svmc12.m MainGA12.m是主文件,其余两个是被调用文件。 MainGA12.m里主要设置有关参数。 ===================== MainGA12.m文件有关设置的说明: 12行: host= \\gatest\\ %在matlab的安装盘,例如c:\\下设置的程序运行结果目录。 -GA / SVM procedures contain
fanga123
- 这是一个用C++写成的遗传算法例子,适合初学者-This is a written in C GA example for beginners
GA(c++)
- 该代码是用C++编写的遗传算法,可在C++或 matlab环境下都可运行.
GA-FCM.rar
- 遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
GAtoolbox_matlab
- GA TOOLBOX USING C-GA TOOLBOX USING C++
GA
- 这是一个c++实现的基本遗传算法 很好用的,只要按照提示输入数值区间就行了或者自己把那个函数改一下就可以做了。-c++ to achieve a good basic genetic algorithm used
GA
- 关于GA的c++代码和matlab代码的一个文件,可以做一个性能对比后,选择使用-On GA in c++ code and matlab code of a file, you can make a performance comparison, the option of using
ga
- C语言实现遗传算法源程序,是参考某博士编的书上的源程序修改得来的-ga
GA
- 使用遗传算法优化PID参数,附原创教程及源码、试验数据及照片-PID parameters using genetic algorithm optimization, with tutorials and the original source code, test data and photographs
GA
- 遗传算法 C语言源码Denis Cormier (North Carolina State University)开发的,Sita S.Raghavan (University of North Carolina at Charlotte)修正,很实用-GA C language source code Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North
GA
- MATLAB和C++开发都有,代码齐全,资料非常有指导意义,适合有一定基础的人。(含资料:全国高技术重点图书·通信技术领域 遗传算法及其应用)-It concludes code of matlab and c++,and some important referance is also included.
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
GA_SVM
- GA优化算法优化支持向量机的惩罚参数c和核函数的gamma。(GA optimization algorithm is used to optimize the penalty parameters c and kernel function gamma of SVM.)