shengjing

所属分类:matlab编程
开发工具:matlab
文件大小:67567KB
下载次数:12
上传日期:2019-03-25 21:32:40
上 传 者jhjjk
说明:  神经网络BP,随机森林,决策树,遗传算法等 数苑炼金网课文件,详细代码注解
(Neural Network BP, Random Forest, Decision Tree, Genetic Algorithms, etc. Course Documents of Shuyuan Alchemy Network, Detailed Code Annotations)

文件列表:
shengjing\Class_3_Code\html\main.html (8514, 2015-08-03)
shengjing\Class_3_Code\html\main.png (2879, 2015-08-03)
shengjing\Class_3_Code\html\main_01.png (6883, 2015-08-03)
shengjing\Class_3_Code\main.m (1431, 2015-08-04)
shengjing\Class_3_Code\spectra_data.mat (171497, 2010-10-14)
shengjing\Class_3_Code.rar (185325, 2017-12-31)
shengjing\机器学及其matlab实现—从基础到实践.zip (28122351, 2019-01-16)
shengjing\第一周\Class_1.pdf (780569, 2017-12-31)
shengjing\第一周\Class_1_Code.rar (74405, 2017-12-31)
shengjing\第一周\MATLAB揭秘.pdf (7585424, 2017-12-31)
shengjing\第七周\Class_7.pdf (541530, 2017-12-31)
shengjing\第七周\Class_7_Code\elmpredict.m (1450, 2015-09-26)
shengjing\第七周\Class_7_Code\elmtrain.m (1752, 2010-11-07)
shengjing\第七周\Class_7_Code\html\main_iris.html (9337, 2015-09-26)
shengjing\第七周\Class_7_Code\html\main_iris.png (3743, 2015-09-26)
shengjing\第七周\Class_7_Code\html\main_iris_01.png (7762, 2015-09-26)
shengjing\第七周\Class_7_Code\html\main_spectra.html (8709, 2015-09-26)
shengjing\第七周\Class_7_Code\html\main_spectra.png (3780, 2015-09-26)
shengjing\第七周\Class_7_Code\html\main_spectra_01.png (9506, 2015-09-26)
shengjing\第七周\Class_7_Code\iris_data.mat (1105, 2010-10-17)
shengjing\第七周\Class_7_Code\main_iris.m (1538, 2015-09-26)
shengjing\第七周\Class_7_Code\main_spectra.m (1347, 2019-01-20)
shengjing\第七周\Class_7_Code\spectra_data.mat (171497, 2010-10-14)
shengjing\第七周\Class_7_Code.rar (205830, 2017-12-31)
shengjing\第三周\Class_3.pdf (899777, 2017-12-31)
shengjing\第三周\Class_3_Code\html\main.html (8514, 2015-08-03)
shengjing\第三周\Class_3_Code\html\main.png (2879, 2015-08-03)
shengjing\第三周\Class_3_Code\html\main_01.png (6883, 2015-08-03)
shengjing\第三周\Class_3_Code\main.m (1431, 2015-08-04)
shengjing\第三周\Class_3_Code\spectra_data.mat (171497, 2010-10-14)
shengjing\第三周\Class_3_Code.rar (185325, 2017-12-31)
shengjing\第三周\Homework_Dataset.rar (2432, 2017-12-31)
shengjing\第九周\Class_9.pdf (592325, 2017-12-31)
shengjing\第九周\Class_9_Code\Demo_1\fitness.m (120, 2015-10-26)
shengjing\第九周\Class_9_Code\Demo_1\html\main.html (7294, 2015-10-26)
shengjing\第九周\Class_9_Code\Demo_1\html\main.png (1482, 2015-10-26)
shengjing\第九周\Class_9_Code\Demo_1\html\main_01.png (5050, 2015-10-26)
shengjing\第九周\Class_9_Code\Demo_1\html\main_02.png (5091, 2015-10-26)
shengjing\第九周\Class_9_Code\Demo_1\html\main_03.png (3656, 2015-10-26)
shengjing\第九周\Class_9_Code\Demo_1\main.m (764, 2015-10-26)
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This directory contains the Genetic Algorithm Optimization Toolbox for Matlab 5. To use this, if you are local to NCSU and have AFS access to this directory, simply extend the matlab path using the following command. You can also place this command in a file called startup.m. Everytime you start Matlab in the directory containing this file, the path will always be extended. >>path(path,'/afs/eos/service/ie/research/kay_res/GAToolBox/gaot'); Otherwise, install the .m files into a directory named gaot and extend the matlab path to that directory. The compressed tar archive and the zip file should automatically create the gaot directory for you. The companion paper describing this toolbox is included here as gaotv5.ps. The paper, the three demo files, gademo1.m gademo2.m gademo3.m, and four example scripts, binaryExample, floatExample, floatGradExample, and orderbasedExample, should be sufficient explanation of this toolbox. For any questions, comments, suggestions send mail to jjoine@eos.ncsu.edu. For a list of the files in the tool box get help on gaot. Thanks for trying the toolbox.

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