MATLAB: How to train the neural network

Question

Hi there, I am trying to create a time-series response and predict the future energy demand. But I am having a problem to train the network.

EnergyDemand = xlsread('C:\Users\user\Desktop\FYP\Datasheet.xlsx','Case Study Table 2','B4:B15');
Targets = xlsread('C:\Users\user\Desktop\FYP\Datasheet.xlsx','Case Study Table 2','C4:E15');
% define signal
inputs = EnergyDemand;
% plot signal
figure;
plot(input)
% Create a Pattern Recognition Network
hiddenLayerSize = 10;
net = patternnet(hiddenLayerSize);
% Set up Division of Data for Training, Validation, Testing
net.divideParam.trainRatio = .7;
net.divideParam.valRatio = .15;
net.divideParam.testRatio = .15;
%net1 = newff(inputs,Targets,1,{'tansig' 'purelin'},'traingdm');
%net = newff(x1,Target,1);
net = feedforwardnet(2);
net= train(net,inputs,Targets);
view(Net);

I keep on getting the error message Error using network/train (line 325) Inputs and targets have different numbers of samples.

Error in Case_Study (line 21) net= train(net,inputs,Targets);

I hope you are able to help me. Thanks in advance.

Answer 1

You are way off base.

1. Time series functions are timedelaynet, narnet and narxnet.

2. Read the time series documentation and examples

3. See some of my examples by searching in NEWSGROUP and ANSWERS. Search using

 greg timedelaynet
 greg narnet
 greg narxnet

HTH

Thank you for formally accepting my answer

Greg