Im doing a carbon dioxide emission(output) with multiple input using neural network approached. Which network should i use? narnet or narxnet?

Here is the generated script when I try using the GUI for nntstool, is it possible to briefly explain the steps of the process: % Closed Loop Network netc = closeloop(net); netc.name = [net.name ' - Closed Loop']; view(netc) [xc,xic,aic,tc] = preparets(netc,X,{},T); yc = netc(xc,xic,aic); closedLoopPerformance = perform(net,tc,yc)

% Multi-step Prediction numTimesteps = size(x,2); knownOutputTimesteps = 1:(numTimesteps-5); predictOutputTimesteps = (numTimesteps-4):numTimesteps; X1 = X(:,knownOutputTimesteps); T1 = T(:,knownOutputTimesteps); [x1,xio,aio] = preparets(net,X1,{},T1); [y1,xfo,afo] = net(x1,xio,aio);

% Next the network and its final states will be converted to % closed-loop form to make five predictions with only the five inputs % provided. x2 = X(1,predictOutputTimesteps); [netc,xic,aic] = closeloop(net,xfo,afo); [y2,xfc,afc] = netc(x2,xic,aic); multiStepPerformance = perform(net,T(1,predictOutputTimesteps),y2)

% Alternate predictions can be made for different values of x2, or further % predictions can be made by continuing simulation with additional external % inputs and the last closed-loop states xfc and afc.

% Step-Ahead Prediction Network nets = removedelay(net); nets.name = [net.name ' - Predict One Step Ahead']; view(nets) [xs,xis,ais,ts] = preparets(nets,X,{},T); ys = nets(xs,xis,ais); stepAheadPerformance = perform(nets,ts,ys)

Answer 1

[Greg Heath]

   NARNET does not accommodate external inputs.

Hope this helps.

Thank you for formally accepting my answer

Greg

[Azri Arifin]

Thank you for the reply, could you explain how the neural network calculate the iteration part, I see some of the example data it uses all 1000 epochs, while mine stops after 15 iterations or less than that.

Best regards Azri

[Greg Heath]

The reason for stopping is in the training record tr.