Custom neural network - input mismatch

I have created a custom neural network with following configurations.

multinet = network;
multinet.numInputs = 44;
multinet.numLayers = 2;
multinet.biasConnect = [1;1];
multinet.layerConnect = [0 0;1 0];
multinet.inputConnect = ipconnect;
multinet.outputConnect = [0 1];
multinet.trainfcn = 'trainbfg';

ipconnect is a 2*44 matrix, in which the first row is all ones and the second is all zeros. My input is a 44*72 matrix (h_tr) and the target variables are in a 1*72 (ytr_t) vector. Whenever I try to invoke the train function, it returns the following error.

[m_net,tr] = train(multinet, h_tr, ytr_t);

Error using network/train (line 340)
Number of inputs does not match net.numInputs.

But when I check with multinet.numInputs it returns 44. Really appreciate any inputs on this. Thanks in advance.

Answer 1

[Jose Marques]

Please, verify the order of elements. Maybe you can try to transposte the inputs matrix.