Neural Network Pattern Recognition Tool.
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Jacek
el 23 de En. de 2011
Comentada: Greg Heath
el 8 de Abr. de 2016
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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Ram
el 23 de En. de 2011
I donno if u used nntool during training..Type nntool in command window it wil open nntool dialog box.. U have to import ur network and test data into it.. after u hav imported double click ur network a dialogue box wil open, in it under simulate tab input ur test data and simulate the results now the simulated results will be stored in nntool dialogue box.. u can open it and view the results.. if u want to work with that data u can export it into workspace.. the result is usually a non-integer you can use round command to round it to the nearest integer.. hope this is useful :)
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Jacek
el 23 de En. de 2011
4 comentarios
Sohail Sarwar
el 7 de Abr. de 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
el 8 de Abr. de 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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