Having a problem training & Testing the Neural network

I have a group of images in a folder and i would like to train the neural network using the features extracted using the gray co-occurrence matrix.

function neuralNetwork(img)

%NN Summary of this function goes here

%   Detailed explanation goes here

files = dir('*.png');

hist = [];

net = lvqnet(10);

for n = 1 : length(files)
    file = imread(files(n).name);

      [rows columns numberOfColorChannels] = size(file);
      %%Check if the im loaded is a grayscale image
      if numberOfColorChannels > 1
          %%Coverting to grayscale & get the co-occurrence matrix
          F = graycomatrix(rgb2gray(file));
      else
          F= graycomatrix(file); %get co-occurrence matrix
      end

      hist = [hist, imhist(F)]; %#ok

end

% Create a Self-Organizing Map

dimension1 = 10;

dimension2 = 10; 

net = selforgmap([dimension1 dimension2]);

% Train the Network

[net,tr] = train(net,hist); % The error is here

% Test the Network

outputs = net(hist);

% View the Network
view(net)

I am getting the following error:

>> neuralNetwork('C:\Users\Lameck\Documents\MATLAB\Project\TrainingSet\0001.png');
??? Error using ==> mtimes
Inner matrix dimensions must agree.

Error in ==> learnsomb>apply at 122
  a2 =  neighborhood * a + a;

Error in ==> trainbu>train_network at 206
            [dw,IWLS{i,j}] = fcn.apply(net.IW{i,j}, ...

Error in ==> trainbu at 103
  [net,tr] = train_network(net,tr,data,fcns,param);

Error in ==> network.train at 107
[net,tr] = feval(net.trainFcn,net,X,T,Xi,Ai,EW,net.trainParam);

Error in ==> neuralNetwork at 26
som = train(som, hist);

Answer 1

[Greg Heath]

train takes 3 inputs, not 2.

 help train

 doc train

Hope this helps.

Thank you for formally accepting my answer

Greg

[Lameck Amugongo]

Ok, thanks i will try it.