Can please someone explain the Artificial Neural Network code below

          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')

[Walter Roberson]

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.

[Chabui]

Here's the link to the original post: https://www.mathworks.com/matlabcentral/answers/153172-how-do-you-make-predictions-with-a-trained-neural-network-nar#answer_218843

Yes I have a foundation in computer programming and mathematics such as functions,loops,vectors etc but i'm new to neural networks...just a simple explanation and comments would really help! Thanks

Answer 1

[Greg Heath]

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