Neural Network Pattern Recognition Tool.
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Hi Everyone, I am quite new to neural networks. I have a problem with pattern recognition using Neural Network Pattern Recognition Tool. As it is shown in demos I created 2 data sets in order to perform simple classification task. Firs one (6x90) contains 90 column vectors with 6 shape coefficient each. Second data set - targets (2x90), contains 90 column vectors where each ith column indicates which category the ith shape (it's either circle or triangle) belongs to. I trained the network with default settings and saved my results. And I'm stuck at this point. How to use trained network to, for example, classify one column vector with 6 shape coefficients to one of two classes? I found tried this http://azload.com/artificial-neural-networks-the-tutorial-with-matlab-5768.html but it seems to be inappropriate for linearly nonseparable problems. Any help would be appreciated:) Jacek
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Jacek
am 23 Jan. 2011
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4 Kommentare
Ram
am 24 Jan. 2011
:)
Greg Heath
am 10 Feb. 2013
If you should use c > 2 clases/categories, use columns of the c-dimensional unit matrix to indicate classes in the target matrix. Use ind2vec and vec2ind to transform between target/output matrices and class indices.
Greg
Sohail Sarwar
am 7 Apr. 2016
Dear Greg, I want to categorize the data set of 1500 learners into four classes. Is that possible with nprtool? Since one of your posts says we can get result for two classes. Can you please elaborate above suggestion coz it can make things to work for me. Regards Sohail
Greg Heath
am 8 Apr. 2016
I am not that familiar with nprtool.
However, I have posted many explanations of classifier design in BOTH the NEWSGROUP and ANSWERS especially using codes newff, newpr and patternnet.
Use the help and doc commands to obtain minimal code.
help patternnet
doc patternnet
Then to find more detailed examples.
greg patternnet
Hope this helps.
Greg
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