登录
首页 » matlab » MATLAB与机器学习

MATLAB与机器学习

于 2020-07-08 发布
0 260
下载积分: 1 下载次数: 28

代码说明:

说明:  此为机器学习中的常见算法的matlab代码,代码注释详细,易上手(This is a common algorithm in machine learning matlab code, code comments in detail, easy to use)

文件列表:

MATLAB与机器学习, 0 , 2019-01-22
MATLAB与机器学习\BP神经网络, 0 , 2019-01-22
MATLAB与机器学习\BP神经网络\html, 0 , 2019-01-22
MATLAB与机器学习\BP神经网络\html\main.html, 8514 , 2015-08-03
MATLAB与机器学习\BP神经网络\html\main.png, 2879 , 2015-08-03
MATLAB与机器学习\BP神经网络\html\main_01.png, 6883 , 2015-08-03
MATLAB与机器学习\BP神经网络\main.m, 1516 , 2018-11-16
MATLAB与机器学习\BP神经网络\spectra_data.mat, 171497 , 2010-10-14
MATLAB与机器学习\RBF、GRNN和PNN神经网络, 0 , 2019-01-22
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html, 0 , 2019-01-22
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_GRNN_PNN.html, 17037 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_GRNN_PNN.png, 3184 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_GRNN_PNN_01.png, 8204 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_GRNN_PNN_02.png, 9510 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_GRNN_PNN_03.png, 7940 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_RBF.html, 8024 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_RBF.png, 3103 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\html\main_RBF_01.png, 7295 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\iris_data.mat, 1105 , 2010-10-17
MATLAB与机器学习\RBF、GRNN和PNN神经网络\main_GRNN_PNN.m, 2780 , 2015-08-15
MATLAB与机器学习\RBF、GRNN和PNN神经网络\main_RBF.m, 1026 , 2015-09-13
MATLAB与机器学习\RBF、GRNN和PNN神经网络\spectra_data.mat, 171497 , 2010-10-14
MATLAB与机器学习\决策树与随机森林, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\data.mat, 86267 , 2009-11-29
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html\main.html, 16031 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html\main.png, 3675 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html\main_01.png, 39119 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html\main_02.png, 5341 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html\main_03.png, 29181 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\html\main_04.png, 33141 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\DecisionTrees\main.m, 2721 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\data.mat, 86267 , 2009-11-29
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\html, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\html\main.html, 16143 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\html\main.png, 2407 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\html\main_01.png, 8813 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\html\main_02.png, 5388 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\main.m, 2591 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\compile_windows.m, 1589 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\data, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\Makefile, 2693 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 43520 , 2015-10-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\README.txt, 3128 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\tempbuild, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Class_C\Version_History.txt, 1311 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\compile_windows.m, 801 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\data, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\README.txt, 2623 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2009-05-17
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\src, 0 , 2019-01-22
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2009-04-25
MATLAB与机器学习\决策树与随机森林\Class_8_Code\RandomForest\randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2009-05-17

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • outlier
    离群点检测的算法,适应于MATLAB,包含关于距离和LOF的聚类算法(Outlier detection algorithm, adapted to MATLAB, including distance and LOF clustering algorithm)
    2021-04-14 16:28:55下载
    积分:1
  • 23
    说明:  城市环境的过程式建模技术研究。。。。。。。。。。(The process of urban environment modeling technology research of)
    2011-05-01 12:00:57下载
    积分:1
  • MSE
    mse算法的matlab仿真程序,包含LS_MSE_calc.m,MMSE_MSE_calc.m,SER_compare.m 文件(mse algorithm matlab simulation program, including LS_MSE_calc.m, MMSE_MSE_calc.m, SER_compare.m file)
    2010-07-31 15:50:51下载
    积分:1
  • pso
    经典微粒群算法MATLAB程序,通过修改w值使得微粒群搜索在全局搜索与局部搜索之间达到一个较好的平衡(Classical PSO MATLAB program, by modifying the value of w makes particle swarm search in the global search and local search to achieve a better balance between)
    2011-05-29 18:20:07下载
    积分:1
  • imlook3dv12
    MATLAB的三维重建程序,很好用的,其中有两个函数(MATLAB three-dimensional reconstruction process, a very good use, there are two functions)
    2009-05-16 00:33:56下载
    积分:1
  • chap4_2
    基于模糊自适应调节的滑膜控制仿真程序,对象为 G(s)=133/s(s+25)(Synovial Fuzzy adaptive control simulation program, the object is G (s) = 133/s (s+25))
    2011-04-21 15:47:47下载
    积分:1
  • rolling_mill
    good matlab files for rolling mill type models.............
    2011-05-15 16:05:52下载
    积分:1
  • ceshijiguo
    QPSK 调制解调的仿真测试,可测试误码率传信率等(QPSK test)
    2013-04-25 22:39:18下载
    积分:1
  • MATLAB有限差分法源序代码
    MATLAB求解偏微分方程(扩散方程)有限差分法 源程序代码(Differential iterative computation)
    2018-11-23 16:13:45下载
    积分:1
  • moshifenlei
    说明:  这是很有用的模式分类原代码,值得借鉴!推荐下载!(This is a very useful pattern classification original code, is worth learning! Recommended download!)
    2008-12-07 20:28:58下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载