??? Error using ==> network.train at 145 Inputs are incorrectly sized for network. Matrix must have 1000 rows.

in=d(1:1000,1:40); ou=d(1:1000,41:44);

trainInput= d(201:1000,1:40); % input for training trainOutput= d(201:1000,41:44); % output for training

%-------------------------------------------------- % training the MLP Neural network % newff(input, target,[hidden layer1 hiddenlayer2 output],{transferFunction1 transferFunction2 transferFunction3}); % transferFunction defult for hidden layer is tansig but here use logsig % and purelin is default transferFunction for output layer net = newff(in,ou,[10 10 4],{'tansig' 'tansig' 'purelin'}); >> net.trainParam.epochs = 1000; %set the maximum number of epochs to train net.trainParam.goal = 0.02; %sum-squared error goal.

%-------------------------------------------------------------------------- % training the MLP by using a a train function

net = train(net,trainInput,trainOutput); ??? Error using ==> network.train at 145 Inputs are incorrectly sized for network. Matrix must have 1000 rows.

what are means by this error? i use 1000x44 double data...please Help!!! urgent...

Answer 1

[Greg Heath]

Transpose your matrices so that inputs and outputs have the same number of columns.

[Muhamad Jaliluddin Mazlan]

thank you...i will try...