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    文件類型: .m
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    發布日期: 2021-05-24
  • 語言: Matlab
  • 標簽: elm??

資源簡介

elm回歸及分類:ELM是一種簡單易用、有效的單隱層前饋神經網絡SLFNs學習算法。2004年由南洋理工大學黃廣斌副教授提出。傳統的神經網絡學習算法(如BP算法)需要人為設置大量的網絡訓練參數,并且很容易產生局部最優解。極限學習機只需要設置網絡的隱層節點個數,在算法執行過程中不需要調整網絡的輸入權值以及隱元的偏置,并且產生唯一的最優解,因此具有學習速度快且泛化性能好的優點。

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?Elm_T

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