Classification with Neural Network Toolbox
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I attempt to build a neural network that can classify the health of leafs. I created an input Matrix with the attributes (reflection of wavelength) and a Output Matrix which contains the classes (each column is a 2-element class vector with a 1 in the position of the associated health). Those are just sample data, which I created manuelly. Now I use the pattern recognition tool for training. My question is how to use trained Neural Network in Matlab for classification. I've got the trained Neuronal Network and a picutre of a leaf, where each Pixel shall be classified as health or sick. Which function can i use ?
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Greg Heath
2013-10-20
Once you train an I-H-O neural net classifier net you can save it.
save net1
At some future point when you want to classify M examples in the xnew matrix with
size(xnew) = [ I M ],
Get the net from storage
load net1
Then use the net:
ynew = net1(xnew);
Hope this helps.
Thank you for formally acceting my answer
Greg
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the cyclist
2013-10-20
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Jan
2013-10-20
the cyclist
2013-10-20
On this page http://www.mathworks.com/help/nnet/gs/classify-patterns-with-a-neural-network.html, Step 5 under "using command-line functions" discusses actually using the neural network with new inputs.
Greg Heath
2013-10-20
ynew = net(xnew);
Hope this helps.
Thank you for formally accepting my answer.
Greg
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