ga_svm.m

粒子群算法

% function [ output_args ] = Untitled2( input_args )
%UNTITLED2 Summary of this function goes here
%  Detailed explanation goes here
H=xlsread('testy.xls',1,'A1:J60');
%  [b,a]= butter(5,0.8);
%  H=filtfilt(b,a,H);

data=H;
data=(data-ones(size(data,1),1)*min(data))./(ones(size(data,1),1)*(max(data)-min(data)));
H=data;

A=H(1:40,1:8);
B=H(1:40,9);
C=H(41:60,1:8);
D=H(41:60,9);


 model = svmtrain(B, A, '-s 3 -t 2 -g 0.11 -c 50 -p 0.015');
 [y, accuracy] = svmpredict(D, C, model);
 
 plot(D,'r--','LineWidth',2 );
   hold on
 plot(y,'b','linewidth',2);