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    發(fā)布日期: 2021-05-12
  • 語言: Matlab
  • 標(biāo)簽: ELM??MATLAB程序??

資源簡介

極限學(xué)習(xí)機(Extreme Learning Machine) ELM,是由黃廣斌提出來的求解單隱層神經(jīng)網(wǎng)絡(luò)的算法。 ELM最大的特點是對于傳統(tǒng)的神經(jīng)網(wǎng)絡(luò),尤其是單隱層前饋神經(jīng)網(wǎng)絡(luò)(SLFNs),在保證學(xué)習(xí)精度的前提下比傳統(tǒng)的學(xué)習(xí)算法速度更快。

資源截圖

代碼片段和文件信息

function?[TrainingTime?TestingTime?TrainingAccuracy?TestingAccuracy]?=?elm(TrainingData_File?TestingData_File?Elm_Type?NumberofHiddenNeurons?ActivationFunction)
?
%?Usage:?elm(TrainingData_File?TestingData_File?Elm_Type?NumberofHiddenNeurons?ActivationFunction)
%?OR:????[TrainingTime?TestingTime?TrainingAccuracy?TestingAccuracy]?=?elm(TrainingData_File?TestingData_File?Elm_Type?NumberofHiddenNeurons?ActivationFunction)
%
%?Input:
%?TrainingData_File?????-?Filename?of?training?data?set
%?TestingData_File??????-?Filename?of?testing?data?set
%?Elm_Type??????????????-?0?for?regression;?1?for?(both?binary?and?multi-classes)?classification
%?NumberofHiddenNeurons?-?Number?of?hidden?neurons?assigned?to?the?ELM
%?ActivationFunction????-?Type?of?activation?function:
%???????????????????????????‘sig‘?for?Sigmoidal?function
%???????????????????????????‘sin‘?for?Sine?function
%???????????????????????????‘hardlim‘?for?Hardlim?function
%???????????????????????????‘tribas‘?for?Triangular?basis?function
%???????????????????????????‘radbas‘?for?Radial?basis?function?(for?additive?type?of?SLFNs?instead?of?RBF?type?of?SLFNs)
%
%?Output:?
%?TrainingTime??????????-?Time?(seconds)?spent?on?training?ELM
%?TestingTime???????????-?Time?(seconds)?spent?on?predicting?ALL?testing?data
%?TrainingAccuracy??????-?Training?accuracy:?
%???????????????????????????RMSE?for?regression?or?correct?classification?rate?for?classification
%?TestingAccuracy???????-?Testing?accuracy:?
%???????????????????????????RMSE?for?regression?or?correct?classification?rate?for?classification
%
%?MULTI-CLASSE?CLASSIFICATION:?NUMBER?OF?OUTPUT?NEURONS?WILL?BE?AUTOMATICALLY?SET?EQUAL?TO?NUMBER?OF?CLASSES
%?FOR?EXAMPLE?if?there?are?7?classes?in?all?there?will?have?7?output
%?neurons;?neuron?5?has?the?highest?output?means?input?belongs?to?5-th?class
%
%?Sample1?regression:?[TrainingTime?TestingTime?TrainingAccuracy?TestingAccuracy]?=?elm(‘sinc_train‘?‘sinc_test‘?0?20?‘sig‘)
%?Sample2?classification:?elm(‘diabetes_train‘?‘diabetes_test‘?1?20?‘sig‘)
%
????%%%%????Authors:????MR?QIN-YU?ZHU?AND?DR?GUANG-BIN?HUANG
????%%%%????NANYANG?TECHNOLOGICAL?UNIVERSITY?SINGAPORE
????%%%%????EMAIL:??????EGBHUANG@NTU.EDU.SG;?GBHUANG@IEEE.ORG
????%%%%????WEBSITE:????http://www.ntu.edu.sg/eee/icis/cv/egbhuang.htm
????%%%%????DATE:???????APRIL?2004
?
%%%%%%%%%%%?Macro?definition
REGRESSION=0;
CLASSIFIER=1;
?
%%%%%%%%%%%?Load?training?dataset
train_data=load(TrainingData_File);
T=train_data(:1)‘;
P=train_data(:2:size(train_data2))‘;
clear?train_data;???????????????????????????????????%???Release?raw?training?data?array
?
%%%%%%%%%%%?Load?testing?dataset
test_data=load(TestingData_File);
TV.T=test_data(:1)‘;
TV.P=test_data(:2:size(test_data2))‘;
clear?test_data;????????????????????????????????????%???Release?raw?testing?data?array
?
NumberofTrainingData=size(P2);
NumberofTestingData=size(TV.P2);
NumberofInputNeurons=size(P1);
?
if

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????9446??2018-10-01?15:27??ELM\elm.m

?????文件???????9279??2018-10-01?15:33??ELM\ELM2.m

?????文件???????7348??2018-10-01?15:44??ELM\elm_test.m

?????文件???????7348??2018-10-01?16:00??ELM\elm_test_OWN.m

?????文件???????3253??2018-10-01?15:55??ELM\sinc_test

?????文件?????114566??2018-10-01?15:35??ELM\sinc_train

?????目錄??????????0??2018-10-01?16:00??ELM

-----------?---------??----------?-----??----

???????????????151240????????????????????7


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