文件名称:several-classification-algorithm
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2017-05-16
- 文件大小:
- 1018kb
- 下载次数:
- 0次
- 提 供 者:
- 李
- 相关连接:
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几种基于Matlab的分类算法研究(自组织神经网络,SOM神经网络,LVQ神经网络,决策树,随机森林算法)-Several classification algorithm based on Matlab research (self-organizing neural network, SOM neural network and LVQ neural network, decision tree, the random forest algorithm)
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下载文件列表
several classification algorithm
................................\LVQ神经网络的分类研究
................................\.....................\bp.m
................................\.....................\crossvalidation_lvq.m
................................\.....................\data.mat
................................\.....................\lvq.m
................................\SOM神经网络的数据分类
................................\.....................\addon.m
................................\.....................\main.m
................................\.....................\p.mat
................................\决策树分类研究应用
................................\..................\data.mat
................................\..................\main_2009a.m
................................\..................\main_2012b.m
................................\自组织神经网络分类研究
................................\......................\gene.mat
................................\......................\gene.txt
................................\......................\main.m
................................\随机森林算法的分类研究
................................\......................\chapter30
................................\......................\.........\RF_MexStandalone-v0.02
................................\......................\.........\......................\randomforest-matlab
................................\......................\.........\......................\...................\RF_Class_C
................................\......................\.........\......................\...................\..........\Compile_Check
................................\......................\.........\......................\...................\..........\Makefile
................................\......................\.........\......................\...................\..........\Makefile.windows
................................\......................\.........\......................\...................\..........\README.txt
................................\......................\.........\......................\...................\..........\Version_History.txt
................................\......................\.........\......................\...................\..........\classRF_predict.m
................................\......................\.........\......................\...................\..........\classRF_train.m
................................\......................\.........\......................\...................\..........\compile_linux.m
................................\......................\.........\......................\...................\..........\compile_windows.m
................................\......................\.........\......................\...................\..........\data
................................\......................\.........\......................\...................\..........\....\X_twonorm.txt
................................\......................\.........\......................\...................\..........\....\Y_twonorm.txt
................................\......................\.........\......................\...................\..........\....\twonorm.mat
................................\......................\.........\......................\...................\..........\mexClassRF_predict.mexw32
................................\......................\.........\......................\...................\..........\mexClassRF_train.mexw32
................................\......................\.........\......................\...................\..........\precompiled_rfsub
................................\......................\.........\......................\...................\..........\.................\linux64
................................\......................\.........\......................\...................\..........\.................\win32
................................\......................\.........\......................\...