Maximum variable size allowed by the program is exceeded

Hello, here is my code. My input is a 1080x14 matrix of doubles and target is 6x14 binary matrix. I keep getting this errors: "Error using zeros Maximum variable size allowed by the program is exceeded." "Error in nnMex2.codeHints (line 117) hints.TEMP = zeros(1,ceil(tempSize/8),'double');" The code works correclty with different data files. If someone can help me, thank you in advance.

input=importdata('input.txt'); 
  target=importdata('output.txt');
  target=target';  %size(input)= 6x14
  input=input';  %size(target)= 1080x14
  %initialize the network parameters 
  trainFcn = 'trainrp'; %training function
  inputDelays = 1:4;    %the delay
  hiddenLayerSize = [30,20];
  net = timedelaynet(inputDelays,hiddenLayerSize,trainFcn);   
  net.divideParam.trainRatio = 70/100;
  net.divideParam.valRatio = 15/100;
  net.divideParam.testRatio = 15/100;
  net.trainParam.epochs = 1000; 
  [trainP,valP,testP] = divideblock(input,0.7,0.15,0.15); 
  [trainT,valT,testT] = divideblock(target,0.7,0.15,0.15);
  net = init(net);
  %training
  [net,tr] = train(net,[trainP,valP,testP],[trainT,valT,testT]);

Answer 1

[Greg Heath]

The numbers you have make no sense. Typically

1. The number of samples is much greater than the dimensionality

 [ I N ] = size(input)
 [ O N ] = size(target)

with

 N >> max(I,O)

for example

 N >~ 10 * max(I,O)

and sometimes (e.g., low SNR)

 N >~ 30* max(I,O)

2. The number of training equations is much greater than the number of unknown weights.

 a. For an I-H-O net

 0.7*N*O >> (I+1)*H +(H+1)*O 

 b. For an I-H1-H2-O net

 0.7*N*O >> (I+1)*H1+(H1+1)*H2+(H2+1)*O

Hope this helps.

Greg

[Lyn Da]

Thank you it does.