new.m

ISGNN是对SGNN(self-generated neural network)的一种改进,是一种在线学习的算法.

close all
clear all
delta= 0.4;

%  iris data set: Input dimmension M=4;  Output dimmension: N=3
%  Wisconsine Brests Cencer data set: Input dimmension M=9;  Output dimmension: N=1
%  taxdata data set: Input dimmension M=71;  Output dimmension: N=1
%  biotrain data set: Input dimmension M=74;  Output dimmension: N=1

M=4;
N=3;
%********************************************
load iris_tr
iris= IRIS_training_data;
clear IRIS_training_data
[nr,nc] = size(iris);
ii=floor(nr/3);
for i=1:1:ii                    Y1(i,:)=iris(i,:);    end
for i=ii+1:1:(2nr/3)                Y2(i-ii,:)= iris(i,:);   end
for i=ii+1:1: nr                Y3(i-ii,:)= iris(i,:);   end

[nr1,nc1]=size(Y1);
[nr2,nc2]=size(Y2);
[nr3,nc3]=size(Y3);

%********************************************************
% training process
%***********************************************************
tic;CPUTIME=cputime;
%************************************************
nodeY1= sgnt_generating_online(Y1,M+N);
%*******************************************************
TOC1=toc;
CPUTIME1=cputime-CPUTIME 

nodeY2= sgnt_generating_online(Y2,M+N);
%*******************************************************
TOC2=toc;
CPUTIME2=cputime-CPUTIME 

nodeY3= sgnt_generating_online(Y3,M+N);
%*******************************************************
TOC3=toc;
CPUTIME3=cputime-CPUTIME 

%*********************************************************
% test process
%*********************************************************

load iris_te 
S = IRIS_testing_data;
clear IRIS_testing_data
[sr,sc]=size(S);