How do Size input and Target correctly during training of Feed Forward Neural Network

I have a input data set consisting of 12 columns and 108 rows. The target data set consist of 1 column and 108 rows. While training my Neural Network the error message "Targets are incorrectly sized for network. Matrix must have 12 columns" is flagged. Please how do I solve this problem.

Note I am using R2008b version.

Here is my code

load RainData_Cal_Inputs.dat load RData_Cal_target yinputs= RainData_Cal_Inputs ytarget= RData_Cal_target;

 [y11,PS] = mapminmax(yinputs)
 [y22,PS] = mapminmax(ytarget);
 y22=y22'
%Network traning and validation
net.divideParam.trainRatio = 70/100;  
net.divideParam.valRatio = 15/100;  
net.divideParam.testRatio = 15/100;  
net.trainParam.epochs = 200;

net = newff(y11,y22,12); net =init(net); net.trainParam.showCommandLine=true view(net) YY = sim(net,y11);

net = train(net,y11,y22)

Answer 1

[Greg Heath]

Transpose your matrices so that

 [ I N ] = size(input)  %[  12 108 ]
 [ O N ] = size(target) %[   1 108 ]

Then search

 greg newff

Hope this helps.

Thank you for formally accepting my answer

Greg

[udoInyang inyang]

Thanks. It worked.