文件名称:Mechine_Learning
- 所属分类：
- 控制台(字符窗口)编程
- 资源属性：
- [Windows] [Visual.Net] [源码]
- 上传时间：
- 2016-05-31
- 文件大小：
- 4.09mb
- 下载次数：
- 0次
- 提 供 者：
- 李*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
该功能包含决策树、随机森林、SVM机器学习算法，并在VS环境下实现并测试。-This function contains the decision tree, random forests, SVM machine learning algorithms, and implement and test in VS environment.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Mechine_Learning\Debug\random_forest_opencv.exe
................\.....\random_forest_opencv.ilk
................\.....\random_forest_opencv.pdb
................\decision_tree\chess_test
................\.............\chess_train
................\.............\decision_tree.cpp
................\.............\decision_tree.h
................\.............\decision_tree.vcxproj
................\.............\decision_tree.vcxproj.filters
................\.............\led24_test
................\.............\led24_train
................\.............\makefile
................\Mechine_Learning.sdf
................\Mechine_Learning.sln
................\Mechine_Learning.v12.suo
................\random_forest\chess_test
................\.............\chess_train
................\.............\led24_test
................\.............\led24_train
................\.............\makefile
................\.............\random_forest.cpp
................\.............\random_forest.h
................\.............\random_forest.vcxproj
................\.............\random_forest.vcxproj.filters
................\............._opencv\Debug\random_f.BDE26F5C.tlog\CL.read.1.tlog
................\....................\.....\......................\CL.write.1.tlog
................\....................\.....\......................\link.read.1.tlog
................\....................\.....\......................\link.write.1.tlog
................\....................\.....\......................\random_forest_opencv.lastbuildstate
................\....................\.....\random_forest_opencv.log
................\....................\.....\RF_letter_recog.obj
................\....................\.....\vc120.idb
................\....................\.....\vc120.pdb
................\....................\letter-recognition.data
................\....................\letter_recog.cpp
................\....................\random_forest_opencv.vcxproj
................\....................\random_forest_opencv.vcxproj.filters
................\....................\RF_letter_recog.cpp
................\SVM\1.jpg
................\...\Debug\SVM.log
................\...\.....\....tlog\CL.read.1.tlog
................\...\.....\........\CL.write.1.tlog
................\...\.....\........\link.read.1.tlog
................\...\.....\........\link.write.1.tlog
................\...\.....\........\SVM.lastbuildstate
................\...\.....\SVM_2dim_3Class.obj
................\...\.....\SVM_LineNonSeparable.obj
................\...\.....\svm_lineNonSeparable1.obj
................\...\.....\SVM_Main.obj
................\...\.....\SVM_test1.obj
................\...\.....\vc120.idb
................\...\.....\vc120.pdb
................\...\result.png
................\...\stdafx.h
................\...\SVM.vcxproj
................\...\SVM.vcxproj.filters
................\...\SVM_2dim_3Class.cpp
................\...\SVM_LineSeparable.cpp
................\...\SVM_Main.cpp
................\...\SVM_NonLineSeparable.cpp
................\...\svm_NonLineSeparable_OpenCV.cpp
................\random_forest_opencv\Debug\random_f.BDE26F5C.tlog
................\SVM\Debug\SVM.tlog
................\random_forest_opencv\Debug
................\SVM\Debug
................\Debug
................\decision_tree
................\random_forest
................\random_forest_opencv
................\SVM
Mechine_Learning