nickdong-matlab-ann-43-cases-master
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：12621KB
下载次数：7
上传日期：2018-04-26 19:40:23
上 传 者：
smilingcost
说明： 基于MATLAB平台的机器学习的43个案例
(43 cases of neural network based on MATLAB platform)
文件列表:
matlab-ann-43-cases (0, 2016-04-08)
matlab-ann-43-cases\chapter1 (0, 2016-04-08)
matlab-ann-43-cases\chapter1\BPDLX.m (6159, 2016-04-08)
matlab-ann-43-cases\chapter1\chapter1_1.asv (3896, 2016-04-08)
matlab-ann-43-cases\chapter1\chapter1_1.m (4030, 2016-04-08)
matlab-ann-43-cases\chapter1\data1.mat (93015, 2016-04-08)
matlab-ann-43-cases\chapter1\data2.mat (92845, 2016-04-08)
matlab-ann-43-cases\chapter1\data3.mat (92937, 2016-04-08)
matlab-ann-43-cases\chapter1\data4.mat (93438, 2016-04-08)
matlab-ann-43-cases\chapter10 (0, 2016-04-08)
matlab-ann-43-cases\chapter10\chapter10.m (1452, 2016-04-08)
matlab-ann-43-cases\chapter10\class.mat (443, 2016-04-08)
matlab-ann-43-cases\chapter10\sim.mat (465, 2016-04-08)
matlab-ann-43-cases\chapter10\stdlib.m (249, 2016-04-08)
matlab-ann-43-cases\chapter10\test.m (807, 2016-04-08)
matlab-ann-43-cases\chapter11 (0, 2016-04-08)
matlab-ann-43-cases\chapter11\city_location.mat (232, 2016-04-08)
matlab-ann-43-cases\chapter11\diff_u.m (217, 2016-04-08)
matlab-ann-43-cases\chapter11\energy.m (247, 2016-04-08)
matlab-ann-43-cases\chapter11\main.m (2674, 2016-04-08)
matlab-ann-43-cases\chapter12 (0, 2016-04-08)
matlab-ann-43-cases\chapter12\Chapter_ClassifyRegressUsingLibsvm.m (2555, 2016-04-08)
matlab-ann-43-cases\chapter12\heart_scale.mat (28904, 2016-04-08)
matlab-ann-43-cases\chapter12\html (0, 2016-04-08)
matlab-ann-43-cases\chapter12\html\Chapter_ClassifyRegressUsingLibsvm.html (14895, 2016-04-08)
matlab-ann-43-cases\chapter12\html\Chapter_ClassifyRegressUsingLibsvm.png (1911, 2016-04-08)
matlab-ann-43-cases\chapter12\html\Chapter_ClassifyRegressUsingLibsvm_01.png (9183, 2016-04-08)
matlab-ann-43-cases\chapter13 (0, 2016-04-08)
matlab-ann-43-cases\chapter13\Chapter_ModelDecryption.m (1308, 2016-04-08)
matlab-ann-43-cases\chapter13\heart_scale.mat (28904, 2016-04-08)
matlab-ann-43-cases\chapter13\html (0, 2016-04-08)
matlab-ann-43-cases\chapter13\html\Chapter_ModelDecryption.html (8933, 2016-04-08)
matlab-ann-43-cases\chapter14 (0, 2016-04-08)
matlab-ann-43-cases\chapter14\chapter_WineClass.m (2429, 2016-04-08)
matlab-ann-43-cases\chapter14\chapter_WineClass.mat (20168, 2016-04-08)
matlab-ann-43-cases\chapter14\html (0, 2016-04-08)
matlab-ann-43-cases\chapter14\html\chapter_WineClass.html (13636, 2016-04-08)
... ...
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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