Prediction using Neural Network with multiple external input variables

2015 10 7
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更新时间：2015 10 8
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Hi I am trying to forecast rainfall using five external variables. I search the net for help and found this post (<http://www.mathworks.com/matlabcentral/answers/14970-neural-network-multi-step-ahead-prediction)helpful>, specially the answer given by Mark Hudson Beale. I have rainfall data from 1900 - 2014 and I want to predict rainfall for the next ten years (2015 - 2025). I have working codes up to test the network (given below). After that I need to predict rainfall for next ten years. I tried to get help from the codes given by Mark Hudson Beale, but I have error in the line Ai2 = mat2cell([zeros(10,2); Ai2],[10 1],ones(1,2));. I would greatly appreciate any help to solve this issue
load Rain;
X = [TMax,TMin,Evap,VP,Rad];
X = tonndata(X,false,false);
T = tonndata(Rain,false,false);
trainFcn = 'trainlm';
inputDelays = 1:2;
feedbackDelays = 1:2;
hiddenLayerSize = 10;
net = narxnet(inputDelays,feedbackDelays,hiddenLayerSize,'open',trainFcn);
[x,xi,ai,t] = preparets(net,X,{},T);
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
% Train the Network
[net,tr] = train(net,x,t,xi,ai);
% Test the Network
y = net(x,xi,ai);
e = gsubtract(t,y);
performance = perform(net,t,y)
%Performance (last 120 predictions)
pred_test = (y(1391:end));
actual_test = (t(1391:end));
performance_test = perform(net,pred_test, actual_test)
RMSE = sqrt(performance_test)

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 采纳的回答

Greg Heath
Greg Heath 2015-10-8

0 个投票

Search the NEWSGROUP and ANSWERS using subsets of
greg nncorr narxnet multistep tutorial
because you have to find a suitable set of lags.
Hope this helps.
Thank you for formally accepting my answer
Greg

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