Can please someone explain the Artificial Neural Network code below
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x=[500 900 1200 1700 2100 2500 3100 4200 5400 7000];
lag=3;
iinput=x;
n=length(iinput);
inputs=zeros(lag,n-lag);
for i=1:n-lag
inputs(:,i)=iinput(i:i+lag-1)';
end
targets=x(lag+1:end);
hiddenLayerSize = 10;
net = fitnet(hiddenLayerSize);
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
[net,tr] = train(net,inputs,targets);
yn=net(inputs);
errors=targets-yn;
figure, ploterrcorr(errors)
figure, parcorr(errors)
%[h,pValue,stat,cValue]= lbqtest(errors)
figure,plotresponse(con2seq(targets),con2seq(yn))
%figure, ploterrhist(errors)
%figure, plotperform(tr)
fn=5;
f_in=iinput(n-lag+1:end)';
f_out=zeros(1,fn);
for i=1:fn
f_out(i)=net(f_in);
f_in=[f_in(2:end);f_out(i)];
end
figure,plot(2006:2015,iinput,'b',2015:2020,[iinput(end),f_out],'r')
2 个评论
Walter Roberson
2017-7-13
What did the author's documentation about the code say?
We can explain the code, but at the moment we have no idea what parts of it you understand. We do not, for example, know whether you are familiar with addition, or with what computer programs are.
采纳的回答
Greg Heath
2017-7-14
1 个投票
Search
1. NEWSGROUP greg quickies
2. NEWSGROUP fitnet Hmin Hmax
3. ANSWERS fitnet Hmin Hmax
Hope this helps
Thank you for formally accepting my answer
Greg
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