elm matlab代码调用,ELM代码matlab

Elmtrain.m(训练代码)

function [IW,B,LW,TF,TYPE] = elmtrain(P,T,N,TF,TYPE)

% ELMTRAIN Create and Train a Extreme Learning Machine

% Syntax

% [IW,B,LW,TF,TYPE] = elmtrain(P,T,N,TF,TYPE)

% Description

% Input

% P - Input Matrix of Training Set (R*Q)

% T - Output Matrix of Training Set (S*Q)

% N - Number of Hidden Neurons (default = Q)

% TF - Transfer Function:

% 'sig' for Sigmoidal function (default)

% 'sin' for Sine function

% 'hardlim' for Hardlim function

% TYPE - Regression (0,default) or Classification (1)

% Output

% IW - Input Weight Matrix (N*R)

% B - Bias Matrix (N*1)

% LW - Layer Weight Matrix (N*S)

% Example

% Regression:

% [IW,B,LW,TF,TYPE] = elmtrain(P,T,20,'sig',0)

% Y = elmtrain(P,IW,B,LW,TF,TYPE)

% Classification

% [IW,B,LW,TF,TYPE] = elmtrain(P,T,20,'sig',1)

% Y = elmtrain(P,IW,B,LW,TF,TYPE)

% See also ELMPREDICT

% Yu Lei,11-7-2010

% Copyright http://www.doczj.com/doc/5aa15a94998fcc22bdd10d04.html

% $Revision:1.0 $

if nargin < 2

error('ELM:Arguments','Not enough input arguments.'); end

if nargin < 3

N = size(P,2);

end

if nargin < 4

TF = 'sig';

end