文件名称:兵王问题SVM程序

介绍说明--下载内容均来自于网络,请自行研究使用

MATLAB编写的SVM算法程序、数据集及其工具包,用于解决国际象棋中的兵王问题(The program, SVM algorithm written in MATLAB data set and used to solve the problem of Bingwang toolkit in chess)
(系统自动生成,下载前可以参看下载内容)

下载文件列表

libsvm-3.21\A practical guide to SVM classification.pdf

libsvm-3.21\COPYRIGHT

libsvm-3.21\FAQ.html

libsvm-3.21\heart_scale

libsvm-3.21\java\libsvm\svm.java

libsvm-3.21\java\libsvm\svm.m4

libsvm-3.21\java\libsvm\svm_model.java

libsvm-3.21\java\libsvm\svm_node.java

libsvm-3.21\java\libsvm\svm_parameter.java

libsvm-3.21\java\libsvm\svm_print_interface.java

libsvm-3.21\java\libsvm\svm_problem.java

libsvm-3.21\java\libsvm.jar

libsvm-3.21\java\Makefile

libsvm-3.21\java\svm_predict.java

libsvm-3.21\java\svm_scale.java

libsvm-3.21\java\svm_toy.java

libsvm-3.21\java\svm_train.java

libsvm-3.21\java\test_applet.html

libsvm-3.21\Makefile

libsvm-3.21\Makefile.win

libsvm-3.21\matlab\libsvmread.c

libsvm-3.21\matlab\libsvmread.mexw64

libsvm-3.21\matlab\libsvmwrite.c

libsvm-3.21\matlab\libsvmwrite.mexw64

libsvm-3.21\matlab\make.m

libsvm-3.21\matlab\Makefile

libsvm-3.21\matlab\README

libsvm-3.21\matlab\svmpredict.c

libsvm-3.21\matlab\svmpredict.mexw64

libsvm-3.21\matlab\svmtrain.c

libsvm-3.21\matlab\svmtrain.mexw64

libsvm-3.21\matlab\svm_model_matlab.c

libsvm-3.21\matlab\svm_model_matlab.h

libsvm-3.21\python\Makefile

libsvm-3.21\python\README

libsvm-3.21\python\svm.py

libsvm-3.21\python\svmutil.py

libsvm-3.21\README

libsvm-3.21\svm-predict.c

libsvm-3.21\svm-scale.c

libsvm-3.21\svm-toy\gtk\callbacks.cpp

libsvm-3.21\svm-toy\gtk\callbacks.h

libsvm-3.21\svm-toy\gtk\interface.c

libsvm-3.21\svm-toy\gtk\interface.h

libsvm-3.21\svm-toy\gtk\main.c

libsvm-3.21\svm-toy\gtk\Makefile

libsvm-3.21\svm-toy\gtk\svm-toy.glade

libsvm-3.21\svm-toy\qt\Makefile

libsvm-3.21\svm-toy\qt\svm-toy.cpp

libsvm-3.21\svm-toy\windows\svm-toy.cpp

libsvm-3.21\svm-train.c

libsvm-3.21\svm.cpp

libsvm-3.21\svm.def

libsvm-3.21\svm.h

libsvm-3.21\tools\checkdata.py

libsvm-3.21\tools\easy.py

libsvm-3.21\tools\grid.py

libsvm-3.21\tools\README

libsvm-3.21\tools\subset.py

libsvm-3.21\windows\libsvm.dll

libsvm-3.21\windows\libsvmread.mexw64

libsvm-3.21\windows\libsvmwrite.mexw64

libsvm-3.21\windows\svm-predict.exe

libsvm-3.21\windows\svm-scale.exe

libsvm-3.21\windows\svm-toy.exe

libsvm-3.21\windows\svm-train.exe

libsvm-3.21\windows\svmpredict.mexw64

libsvm-3.21\windows\svmtrain.mexw64

testSVMChess\a practical guide to support vector classification.pdf

testSVMChess\decisionValues.mat

testSVMChess\krkopt.data

testSVMChess\model.mat

testSVMChess\test.m

testSVMChess\testSVMChessLibSVM.m

testSVMChess\xTesting.mat

testSVMChess\xTraining.mat

testSVMChess\yPred.mat

testSVMChess\yTesting.mat

libsvm-3.21\java\libsvm

libsvm-3.21\svm-toy\gtk

libsvm-3.21\svm-toy\qt

libsvm-3.21\svm-toy\windows

libsvm-3.21\java

libsvm-3.21\matlab

libsvm-3.21\python

libsvm-3.21\svm-toy

libsvm-3.21\tools

libsvm-3.21\windows

libsvm-3.21

testSVMChess

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