极限学习机(ELM),一种神经网络算法我要分享

Extreme learning machine (ELM), a neural network algorithm

ELM-分类 elm回归 ELM神经网络 ELM machine-learning

关注次数: 458

下载次数: 7

文件大小: 3947KB

代码分类: 智能算法

开发平台: matlab

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代码描述

中文说明:

一种神经网络算法:极限学习机(ELM),包括分类和回归,仿真验证无误,适合初学者练习。


English Description:

A neural network algorithm: extreme learning machine (ELM), including classification and regression, simulation verification, suitable for beginners to practice.


代码预览

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)\BP_diabetes.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)\BP_sinc.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)\diabetes2.dt

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)\diabetes2_data.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)\diabetes_test

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)\diabetes_train

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\diabetes2.dt

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\diabetes2_data.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\diabetes_test

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\diabetes_train

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\ELM.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\ELM.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)\ELM_diabetes.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\elm_predict.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\elm_train.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)\diabetes2.dt

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)\diabetes2_data.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)\diabetes_test

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)\diabetes_train

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)\SVM_diabetes.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)\SVM_diabetes.m

ELM\ELMѧϰ\Basic ELM(for ELM with random hidden nodes)\elm.pdf

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\BP(SINC)\BP_sinc.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\BP(SINC)\sinc.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\BP(SINC)\sinc_mean.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\BP(SINC)\sinc_test

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\BP(SINC)\sinc_train

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)\ELM.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)\ELM_sinc.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)\sinc.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)\sinc_mean.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)\sinc_test

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)\sinc_train

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\elm_predict.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\elm_train.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)\sinc.m

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)\sinc_mean.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)\sinc_test

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)\sinc_train

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)\SVR_sinc.asv

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)\SVR_sinc.m

ELM\ELMѧϰ\B_ELM\B-ELM.zip

ELM\ELMѧϰ\C_ELM\Compelx-ELM.zip

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)\diabetes2.dt

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)\diabetes2_data.m

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)\diabetes_test

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)\diabetes_train

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)\elm_kernel.m

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)\ELM_kernel_diabetes.m

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)\elm_kernel.m

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)\ELM_kernel_sinc.m

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)\sinc.m

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)\sinc_mean.asv

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)\sinc_test

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)\sinc_train

ELM\ELMѧϰ\OS_ELM\OS-ELM\HardlimActFun.m

ELM\ELMѧϰ\OS_ELM\OS-ELM\OSELM.m

ELM\ELMѧϰ\OS_ELM\OS-ELM\OSELM_VARY.m

ELM\ELMѧϰ\OS_ELM\OS-ELM\RBFun.m

ELM\ELMѧϰ\OS_ELM\OS-ELM\SigActFun.m

ELM\ELMѧϰ\OS_ELM\OS-ELM\SinActFun.m

ELM\ELMѧϰ\OS_ELM\oselm.pdf

ELM\ELMѧϰ\SaDE_ELM\SaDE-ELM.rar

ELM\ELMѧϰ\Weighted_ELM\Weighted-ELM.zip

ELM\ELM学习\测试比较图.doc

ELM\分类\ELMfenglei.m

ELM\分类\elmpredict.m

ELM\分类\elmtrain.m

ELM\分类\iris.mat

ELM\回归\chejing.mat

ELM\回归\elm\chejing.mat

ELM\回归\elm\ELM.m

ELM\回归\elm\elmpredict.m

ELM\回归\elm\elmtrain.m

ELM\回归\ELMhuigui.m

ELM\回归\elmpredict.m

ELM\回归\elmtrain.m

ELM\回归\main.asv

ELM\回归\psoelm\chejing.mat

ELM\回归\psoelm\elmpredict.m

ELM\回归\psoelm\elmtrain.m

ELM\回归\psoelm\fun.m

ELM\回归\psoelm\PSOELM.m

ELM\回归\psoelm.zip

ELM\回归\spectra_data.mat

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\BP(diabetes)

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\ELM(diabetes)

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类\SVM(diabetes)

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\BP(SINC)

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\ELM(SINC)

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归\SVR(SINC)

ELM\ELM学习\ELM_kernel\diabetes分类\ELM_kernel(diabetes)

ELM\ELM学习\ELM_kernel\sinc回归\ELM_kernel(SINC)

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\diabetes分类

ELM\ELM学习\Basic ELM(for ELM with random hidden nodes)\sinc回归

ELM\ELM学习\ELM_kernel\diabetes分类

ELM\ELM学习\ELM_kernel\sinc回归

ELM\ELMѧϰ\OS_ELM\OS-ELM