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- PathFinderLibrary_src A .NET Path Finder Library Path Finder Library is a .NET library that currently contains one type called SimplePathFinder. SimplePathFinder is a very simple and basic implementation of the A* path finding algorithm. It is extremely easy to use and integrate in your applications. It works very well and I hope you enjoy using it. 这是一个用C#实现的路径搜索算法
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- Myclock VC2008写的一个桌面时钟程序
文件名称:GA_SVM
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所属分类:
- 标签属性:
- 上传时间:2012-11-16
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文件大小:1.6mb
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已下载:2次
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提 供 者:
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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--下载内容来自于网络,使用问题请自行百度
对于小样本而言,SVM的仿真效果要比神经网络好,但是SVM的性能依赖于它的两个训练参数,本算法是用GA自动选择SVM的两个参数。-For small sample case, SVM simulation results than the neural network is good, but the performance of SVM depends on its two training parameters, the algorithm is automatically selected GA parameters of SVM-2.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
GA_SVM/ALLdataTest.m
GA_SVM/ALLdataTrain.m
GA_SVM/mainGA7.m
GA_SVM/osu_svm3.00/cmap.mat
GA_SVM/osu_svm3.00/Contents.m
GA_SVM/osu_svm3.00/demo/c_clademo.m
GA_SVM/osu_svm3.00/demo/c_lindemo.m
GA_SVM/osu_svm3.00/demo/c_poldemo.m
GA_SVM/osu_svm3.00/demo/c_rbfdemo.m
GA_SVM/osu_svm3.00/demo/c_svcdemo.m
GA_SVM/osu_svm3.00/demo/DemoData_class.mat
GA_SVM/osu_svm3.00/demo/DemoData_test.mat
GA_SVM/osu_svm3.00/demo/DemoData_train.mat
GA_SVM/osu_svm3.00/demo/one_rbfdemo.m
GA_SVM/osu_svm3.00/demo/osusvmdemo.m
GA_SVM/osu_svm3.00/demo/SVMClassifier.mat
GA_SVM/osu_svm3.00/demo/u_clademo.m
GA_SVM/osu_svm3.00/demo/u_lindemo.m
GA_SVM/osu_svm3.00/demo/u_poldemo.m
GA_SVM/osu_svm3.00/demo/u_rbfdemo.m
GA_SVM/osu_svm3.00/demo/u_svcdemo.m
GA_SVM/osu_svm3.00/demos.m
GA_SVM/osu_svm3.00/LinearSVC.m
GA_SVM/osu_svm3.00/mexSVMClass.dll
GA_SVM/osu_svm3.00/mexSVMClass.m
GA_SVM/osu_svm3.00/mexSVMClass.mexglx
GA_SVM/osu_svm3.00/mexSVMClass.mexhp7
GA_SVM/osu_svm3.00/mexSVMClass.mexsol
GA_SVM/osu_svm3.00/mexSVMTrain.dll
GA_SVM/osu_svm3.00/mexSVMTrain.m
GA_SVM/osu_svm3.00/mexSVMTrain.mexglx
GA_SVM/osu_svm3.00/mexSVMTrain.mexhp7
GA_SVM/osu_svm3.00/mexSVMTrain.mexsol
GA_SVM/osu_svm3.00/Normalize.m
GA_SVM/osu_svm3.00/one_RbfSVC.m
GA_SVM/osu_svm3.00/PolySVC.m
GA_SVM/osu_svm3.00/RbfSVC.m
GA_SVM/osu_svm3.00/Scale.m
GA_SVM/osu_svm3.00/SVMClass.m
GA_SVM/osu_svm3.00/SVMPlot.m
GA_SVM/osu_svm3.00/SVMPlot2.m
GA_SVM/osu_svm3.00/SVMTest.m
GA_SVM/osu_svm3.00/SVMTrain.m
GA_SVM/osu_svm3.00/u_LinearSVC.m
GA_SVM/osu_svm3.00/u_PolySVC.m
GA_SVM/osu_svm3.00/u_RbfSVC.m
GA_SVM/Readme_of_GASVM.txt
GA_SVM/selectGA7.m
GA_SVM/svmc7.m
GA_SVM/osu_svm3.00/demo
GA_SVM/osu_svm3.00
GA_SVM
GA_SVM/ALLdataTrain.m
GA_SVM/mainGA7.m
GA_SVM/osu_svm3.00/cmap.mat
GA_SVM/osu_svm3.00/Contents.m
GA_SVM/osu_svm3.00/demo/c_clademo.m
GA_SVM/osu_svm3.00/demo/c_lindemo.m
GA_SVM/osu_svm3.00/demo/c_poldemo.m
GA_SVM/osu_svm3.00/demo/c_rbfdemo.m
GA_SVM/osu_svm3.00/demo/c_svcdemo.m
GA_SVM/osu_svm3.00/demo/DemoData_class.mat
GA_SVM/osu_svm3.00/demo/DemoData_test.mat
GA_SVM/osu_svm3.00/demo/DemoData_train.mat
GA_SVM/osu_svm3.00/demo/one_rbfdemo.m
GA_SVM/osu_svm3.00/demo/osusvmdemo.m
GA_SVM/osu_svm3.00/demo/SVMClassifier.mat
GA_SVM/osu_svm3.00/demo/u_clademo.m
GA_SVM/osu_svm3.00/demo/u_lindemo.m
GA_SVM/osu_svm3.00/demo/u_poldemo.m
GA_SVM/osu_svm3.00/demo/u_rbfdemo.m
GA_SVM/osu_svm3.00/demo/u_svcdemo.m
GA_SVM/osu_svm3.00/demos.m
GA_SVM/osu_svm3.00/LinearSVC.m
GA_SVM/osu_svm3.00/mexSVMClass.dll
GA_SVM/osu_svm3.00/mexSVMClass.m
GA_SVM/osu_svm3.00/mexSVMClass.mexglx
GA_SVM/osu_svm3.00/mexSVMClass.mexhp7
GA_SVM/osu_svm3.00/mexSVMClass.mexsol
GA_SVM/osu_svm3.00/mexSVMTrain.dll
GA_SVM/osu_svm3.00/mexSVMTrain.m
GA_SVM/osu_svm3.00/mexSVMTrain.mexglx
GA_SVM/osu_svm3.00/mexSVMTrain.mexhp7
GA_SVM/osu_svm3.00/mexSVMTrain.mexsol
GA_SVM/osu_svm3.00/Normalize.m
GA_SVM/osu_svm3.00/one_RbfSVC.m
GA_SVM/osu_svm3.00/PolySVC.m
GA_SVM/osu_svm3.00/RbfSVC.m
GA_SVM/osu_svm3.00/Scale.m
GA_SVM/osu_svm3.00/SVMClass.m
GA_SVM/osu_svm3.00/SVMPlot.m
GA_SVM/osu_svm3.00/SVMPlot2.m
GA_SVM/osu_svm3.00/SVMTest.m
GA_SVM/osu_svm3.00/SVMTrain.m
GA_SVM/osu_svm3.00/u_LinearSVC.m
GA_SVM/osu_svm3.00/u_PolySVC.m
GA_SVM/osu_svm3.00/u_RbfSVC.m
GA_SVM/Readme_of_GASVM.txt
GA_SVM/selectGA7.m
GA_SVM/svmc7.m
GA_SVM/osu_svm3.00/demo
GA_SVM/osu_svm3.00
GA_SVM
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