登录
首页 » matlab » 随机森林

随机森林

于 2020-04-03 发布
0 159
下载积分: 1 下载次数: 15
我要下载

代码说明：

说明：  利用matlab中随机森林工具包数据进行预测(RF toolkit data in matlab was used for prediction)

文件列表：

randomforest-matlab\RF_Class_C\classRF_predict.m, 2166 , 2020-04-03
randomforest-matlab\RF_Class_C\classRF_train.m, 14829 , 2020-04-03
randomforest-matlab\RF_Class_C\Compile_Check, 856 , 2020-04-03
randomforest-matlab\RF_Class_C\compile_linux.m, 557 , 2020-04-03
randomforest-matlab\RF_Class_C\compile_windows.m, 1589 , 2020-04-03
randomforest-matlab\RF_Class_C\data\twonorm.mat, 48856 , 2020-04-03
randomforest-matlab\RF_Class_C\data\X_twonorm.txt, 96300 , 2020-04-03
randomforest-matlab\RF_Class_C\data\Y_twonorm.txt, 600 , 2020-04-03
randomforest-matlab\RF_Class_C\Makefile, 2693 , 2020-04-03
randomforest-matlab\RF_Class_C\Makefile.windows, 2523 , 2020-04-03
randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw64, 26624 , 2020-04-03
randomforest-matlab\RF_Class_C\mexClassRF_train.mexw64, 43520 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o, 6848 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o, 9840 , 2020-04-03
randomforest-matlab\RF_Class_C\README.txt, 3128 , 2020-04-03
randomforest-matlab\RF_Class_C\rfsub.o, 9840 , 2020-04-03
randomforest-matlab\RF_Class_C\src\classRF.cpp, 33889 , 2020-04-03
randomforest-matlab\RF_Class_C\src\classTree.cpp, 8947 , 2020-04-03
randomforest-matlab\RF_Class_C\src\cokus.cpp, 7678 , 2020-04-03
randomforest-matlab\RF_Class_C\src\cokus_test.cpp, 1189 , 2020-04-03
randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp, 5225 , 2020-04-03
randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp, 8545 , 2020-04-03
randomforest-matlab\RF_Class_C\src\qsort.c, 4676 , 2020-04-03
randomforest-matlab\RF_Class_C\src\rf.h, 5186 , 2020-04-03
randomforest-matlab\RF_Class_C\src\rfsub.f, 15851 , 2020-04-03
randomforest-matlab\RF_Class_C\src\rfutils.cpp, 9609 , 2020-04-03
randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp, 9865 , 2020-04-03
randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m, 604 , 2020-04-03
randomforest-matlab\RF_Class_C\tutorial_ClassRF.m, 10403 , 2020-04-03
randomforest-matlab\RF_Class_C\twonorm_C_devcpp.dev, 1783 , 2020-04-03
randomforest-matlab\RF_Class_C\Version_History.txt, 1311 , 2020-04-03
randomforest-matlab\RF_Reg_C\Compile_Check_kcachegrind, 611 , 2020-04-03
randomforest-matlab\RF_Reg_C\Compile_Check_memcheck, 623 , 2020-04-03
randomforest-matlab\RF_Reg_C\compile_linux.m, 952 , 2020-04-03
randomforest-matlab\RF_Reg_C\compile_windows.m, 801 , 2020-04-03
randomforest-matlab\RF_Reg_C\data\diabetes.mat, 265664 , 2020-04-03
randomforest-matlab\RF_Reg_C\data\X_diabetes.txt, 110942 , 2020-04-03
randomforest-matlab\RF_Reg_C\data\Y_diabetes.txt, 11492 , 2020-04-03
randomforest-matlab\RF_Reg_C\diabetes_C_devc.dev, 1293 , 2020-04-03
randomforest-matlab\RF_Reg_C\Makefile, 1774 , 2020-04-03
randomforest-matlab\RF_Reg_C\README.txt, 2623 , 2020-04-03
randomforest-matlab\RF_Reg_C\regRF_predict.m, 986 , 2020-04-03
randomforest-matlab\RF_Reg_C\regRF_train.m, 12863 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\cokus.cpp, 7678 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\cokus_test.cpp, 1189 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\diabetes_C_wrapper.cpp, 11673 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\mex_regressionRF_predict.cpp, 3864 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\mex_regressionRF_train.cpp, 12391 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\qsort.c, 4676 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\reg_RF.cpp, 40291 , 2020-04-03
randomforest-matlab\RF_Reg_C\src\reg_RF.h, 560 , 2020-04-03
randomforest-matlab\RF_Reg_C\test_RegRF_extensively.m, 1364 , 2020-04-03
randomforest-matlab\RF_Reg_C\tutorial_RegRF.m, 9505 , 2020-04-03
randomforest-matlab\RF_Reg_C\Version_History.txt, 253 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win32, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub\win64, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\data, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\precompiled_rfsub, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\src, 0 , 2020-04-03
randomforest-matlab\RF_Class_C\tempbuild, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C\data, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C\src, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C\tempbuild, 0 , 2020-04-03
randomforest-matlab\RF_Class_C, 0 , 2020-04-03
randomforest-matlab\RF_Reg_C, 0 , 2020-04-03
randomforest-matlab, 0 , 2020-04-03

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

  • hxg
    定义了一个函数用来计算两个序列的互相关值，根据给定的两个序列计算其互相关值并以图形方式输出结果。(Defines a function used to calculate the cross-correlation of two sequences of values, according to a given sequence of two to calculate the value of inter-related and graphical output.)
    2009-06-30 21:18:22下载
    积分：1
  • ray
    射线追踪的仿真小程序最多可以模拟三次反射,可以出仿真图(it is a program of raytracing and simulation figure could be made)
    2021-02-05 15:09:57下载
    积分：1
  • pmsm
    a modele of the permant magnet synchronous machine
    2010-07-28 20:30:08下载
    积分：1
  • dianzi_shuangfengyanshe
    GUI用户界面，通过输入缝宽、双缝间距、电子个数等参数，演示出电子双缝衍射的规律。要求： （1）由用户任意输入可调参数的界面； （2）根据电子双缝衍射的规律，得到不同入射电子数目时的衍射图像和动态演示动画； （4）模拟出观察屏上的电子双缝衍射的强度分布图样。 (GUI user interface by entering the slit width, double-slit spacing, number of parameters, to demonstrate the electronic double-slit diffraction law. Requirements: (1) any input by the user interface of adjustable parameters (2) According to the law of electronic double-slit diffraction, get a different number of incident electron diffraction images and dynamic animation (4) simulate the viewing screen on the electronic double-slit diffraction intensity distribution pattern.)
    2012-05-14 17:28:47下载
    积分：1
  • Chapter-05
    Compressed Sensing Theory and Applications Cambridge University Press 2011 （第五章）(Compressed Sensing Theory and Applications Cambridge University Press 2011 (Chapter V))
    2013-04-08 17:54:50下载
    积分：1
  • matlab32
    主要介绍了MATLAB编程的风格，以及编程中的技巧和规范，适于对MATLAB有一定了解的人(Introduces MATLAB programming style, as well as programming skills and norms of MATLAB for those who have a certain understanding of)
    2009-05-12 20:54:00下载
    积分：1
  • E4
    说明：  E4 tool for matlab, for modeling time series
    2012-11-28 19:24:35下载
    积分：1
  • k_algorithm
    k均值算法matlab实现，模式识别中常用(k-means algorithm matlab realize, pattern recognition used in)
    2008-05-18 12:49:08下载
    积分：1
  • genetic-algorithm
    MATLAB-HFSS联合仿真，以遗传算法优化开槽优化微带天线带宽，还需下载hfss-hfss-api方能使用，别忘了修改路径(MATLAB-HFSS-patch antenna)
    2021-01-24 19:58:38下载
    积分：1
  • Fuzzy-Edge-Detection-(1)
    Fuzzy logic is a form of many-valued logic or probabilistic logic it deals with reasoning that is approximate rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values) fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false.[1] Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.
    2013-03-11 17:03:00下载
    积分：1
  • 696524资源总数
  • 103945会员总数
  • 46今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2024 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！