MATLAB: How can i use an image as a input to the artificial neural network? pls help me soon..,

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for multilayered ANN regression model

Best Answer

Extract I features from each of N images. The size of the input and target matrices should be

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

Hope this helps.

Thank you for formally accepting my answer

Greg

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 Use the command window
 help mse
 doc mse

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: How can we train images in matlab using artificial neural network

Typically, especially for huge sizes, some form of feature extraction is used to reduce the size of the input.

So, instead of image --> image(:), you get image --> featurevector.

If the number of extracted features is I, then the input matrix for N images has size

 [ I N ] = size(input);

Next, if there are c categories with Ni (1=1:c) members each, the corresponding target matrix has N columns from the c dimensional unit matrix eye(c) so that

 [ c N ] = size(target),
 sum(target) = ones(1,N),
 sum(target') = [ N1, N2, ...Nc],
 and 
 sum(sum(target)) = sum(sum(target')) = sum(target(:)) = N

Hope this helps.

Thank you for formally accepting my answer

Greg

Best Answer

Related Solutions

MATLAB: How to train a feedfordward neural network with error weights

MATLAB: How can we train images in matlab using artificial neural network

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