Too many input arguments error

i have my function testnetwork

    function result = TestNetwork(network, input)

result = input;
 b= [-1 -1 -1 -1 ];

      % Iterate over all the couches
      for i=1:length(network.couches)

      result = network.activation(matrix_multiplication_same_dimension(network.couches{i} ,  vertcat ( result , b))); 

      end

end

and this is my main

% initialis a cell of zeros for example   output = zeros_quat(zeros(1, 2)) is equal to   [0 0 0 0]    [0 0 0 0]
 output = zeros_quat(zeros(10, size(testset,2)));
% 
 for i = 1:size(testset, 2)
    output {:,i} = TestNetwork(network, testset{:,i});
 end
end

why i get this error thank for helping me

Answer 1

[James Tursa]

It is not clear what "testset" is, but if it is a cell array then the notation you are using in your TestNetwork call will produce a comma-separated-list for testset{:,i}. So if there is more than one row in testset, you will get more than one input argument for the notation testset{:,i}. That, combined with the network argument input, will produce three or more inputs to the TestNetwork function ... hence the error since TestNetwork only takes two inputs. E.g.,

>> testset = {1,2:3;4:6,7:10}  % <-- A 2x2 cell array
testset = 
    [         1]    [1x2 double]
    [1x3 double]    [1x4 double]
>> testset{:,1}  % <-- The first column of testset, "dereferenced" with the curly { } notation
ans =
     1
ans =
     4     5     6

When you "dereference" the cell array column with the curly brackets { }, the result is a comma-separated-list ... which in this case is equivalent to two values separated by commas. I.e., the notation testset{:,1} is equivalent to the following explicitly types values:

>> testset{1,1},testset{2,1}
ans =
     1
ans =
     4     5     6

I.e., the curly brackets { } used above is as if you typed in two separate values separated by a comma ... it is equivalent to the above.

[AMAL targhi]

i need to load colmun bye column because

 result = network.activation( matrix_multiplication_same_dimension( network.couches{i} ,  vertcat ( result , b)));

network.couche is cell of arrays like multiplication of 2 matrix