matlab各类优化算法（含例子可运行）
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：348KB
下载次数：16
上传日期：2019-12-29 11:15:17
上 传 者：
ddyecust@163.com
说明： MATLAB优化算法，MATLAB，BP，svm，GA，pso可执行，可直接调参后使用，内部含有测试数据和使用文档，可直接调用。
(BP, SVM, GA, Pso algorithm could be conducted by MATLAB software, it is very useful to do regression and analysis of data. It can be directly adjusted after the use of parameters, internal test data and use documents, can be directly called.)
文件列表:
matlab各类优化算法（含例子可运行）\a_template_flow_usingSVM_class.m (2519, 2017-03-20)
matlab各类优化算法（含例子可运行）\a_template_flow_usingSVM_regress.m (2338, 2017-03-20)
matlab各类优化算法（含例子可运行）\ClassResult.m (2086, 2017-03-20)
matlab各类优化算法（含例子可运行）\ClassResult_test.m (366, 2017-03-20)
matlab各类优化算法（含例子可运行）\gaSVMcgForClass.m (3579, 2017-03-20)
matlab各类优化算法（含例子可运行）\gaSVMcgForRegress.m (3468, 2017-03-20)
matlab各类优化算法（含例子可运行）\gaSVMcgpForRegress.m (3744, 2017-03-20)
matlab各类优化算法（含例子可运行）\libsvm参数说明.txt (2865, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\bs2rv.m (3217, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\contents.m (1835, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\crtbase.m (1168, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\crtbp.m (2187, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\crtrp.m (2091, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\migrate.m (7205, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\mpga.m (4019, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\mut.m (1609, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\mutate.m (3437, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\mutbga.m (4943, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\mytest\gaSVM.m (2792, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\ranking.m (4709, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\recdis.m (1825, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\recint.m (1895, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\reclin.m (1953, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\recmut.m (4852, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\recombin.m (2438, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\reins.m (5574, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\rep.m (1208, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\resplot.m (2080, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\rws.m (1090, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\scaling.m (1270, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\select.m (2401, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\sus.m (1319, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovdp.m (1042, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovdprs.m (1090, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovmp.m (2795, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovsh.m (1032, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovshrs.m (1080, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovsp.m (1043, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\gatbx[Sheffield]\xovsprs.m (1090, 2017-03-20)
matlab各类优化算法（含例子可运行）\myprivate\plotroc2009b.m (5374, 2017-03-20)
... ...
SVM faruto version
by faruto
Email:farutoliyang@gmail.com
2009.11.05
==================================
Content:
scaleForSVM:归一化
函数接口:
[train_scale,test_scale,ps] = scaleForSVM(train_data,test_data,ymin,ymax)
====================================
pcaForSVM:pca降维预处理
函数接口:
[train_pca,test_pca] = pcaForSVM(train,test,threshold)
====================================
fasticaForSVM:ica降维预处理
函数接口:
[train_ica,test_ica] = fasticaForSVM(train,test)
====================================
SVMcgForClass:分类问题参数寻找[grid search based on CV]
函数接口:
[bestacc,bestc,bestg] = SVMcgForClass(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,accstep)
SVMcgForRegress:回归问题参数寻优[grid search based on CV]
函数接口:
[mse,bestc,bestg] = SVMcgForRegress(train_label,train,cmin,cmax,gmin,gmax,v,cstep,gstep,msestep)
======================================
psoSVMcgForClass:分类问题参数寻优[pso based on CV]
函数接口:
[bestCVaccuracy,bestc,bestg,pso_option] = psoSVMcgForClass(train_label,train,pso_option)
psoSVMcgForRegress:回归问题参数寻优[pso based on CV]
函数接口:
[bestCVmse,bestc,bestg,pso_option] = psoSVMcgForRegress(train_label,train,pso_option)
=======================================
gaSVMcgForClass:分类问题参数寻优[ga based on CV]
函数接口:
[bestCVaccuracy,bestc,bestg,ga_option] = gaSVMcgForClass(train_label,train,ga_option)
gaSVMcgForRegress:回归问题参数寻优[ga based on CV]
函数接口:
[bestCVmse,bestc,bestg,ga_option] = gaSVMcgForRegress(train_label,train,ga_option)
======================================
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