文件名称:ELM_MatlabClass
介绍说明－－下载内容均来自于网络，请自行研究使用
极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。该程序是用于极限学习机分类。(Extreme learning machine only need to set the number of hidden nodes of the network, the algorithm execution process does not need to adjust the input weights and hidden element of bias, and only optimal solution, so it has the advantages of fast learning speed and good generalization performance. The program is used for limit learning machine classification.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
ELM_MatlabClass\breast-cancer-wisconsin.data
ELM_MatlabClass\BreastTissue.xls
ELM_MatlabClass\cleveland.data
ELM_MatlabClass\computeAccuracy.m
ELM_MatlabClass\computeR2.m
ELM_MatlabClass\data_akbilgic.csv
ELM_MatlabClass\download;jsessionid=40A20D1976C7526372448EC4E906FA4B.pdf
ELM_MatlabClass\ELM-Unified-Learning.pdf
ELM_MatlabClass\ELM_MatlabClass.m
ELM_MatlabClass\example_CLASSIFICATION.m
ELM_MatlabClass\example_REGRESSION.m
ELM_MatlabClass\hepatitis.data
ELM_MatlabClass\license.txt
ELM_MatlabClass\README.md
ELM_MatlabClass
ELM_MatlabClass\BreastTissue.xls
ELM_MatlabClass\cleveland.data
ELM_MatlabClass\computeAccuracy.m
ELM_MatlabClass\computeR2.m
ELM_MatlabClass\data_akbilgic.csv
ELM_MatlabClass\download;jsessionid=40A20D1976C7526372448EC4E906FA4B.pdf
ELM_MatlabClass\ELM-Unified-Learning.pdf
ELM_MatlabClass\ELM_MatlabClass.m
ELM_MatlabClass\example_CLASSIFICATION.m
ELM_MatlabClass\example_REGRESSION.m
ELM_MatlabClass\hepatitis.data
ELM_MatlabClass\license.txt
ELM_MatlabClass\README.md
ELM_MatlabClass