MATLAB: Newff

2010amatlab version

how to use newff matlab scaled conjugate gradient to design a neural network data classification. please give me a clear example how we train, testing and classified it.thanx

Best Answer

There are many examples in ANSWERS and the NEWSGROUP. The pattern-recognition/classification function newpr calls newff. However they have been replaced by patternnet and feedforwardnet, respectfully.

In addition to the documentation examples in help and doc, there are several test data sets obtained from

 help nndatssets
 doc nndatasets

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MATLAB: Neural Network Plotting Confusion Matrix

Click on the plotconfusion button in the nntraintool window.

You have specified many net properties that are already defaults

... a waste of time and space.

Thank you for formally accepting my answer

Greg

MATLAB: Multilayer neural network with newff

If you are new with NNs stick with the defaults as much as possible. Input-Hidden-Output is sufficient for a universal approximator. It is very seldom that more is needed.

Although NEWFIT (regression) and NEWPR(classification) that call NEWFF (generic) are still available, they all are obsolete.

Do you have access to the current functions FITNET(regression) and PATTERNNET(classification) that call FEEDFORWARDNET (generic)? If so, choose one of the first two.

First practice on the MATLAB examples in the help and doc documentation.

First accept all defaults. If that doesn't work, increase the number of hidden nodes.

Don't hesitate to consult us again if you need help.

Hope this helps.

Greg

More examples can be obtained from

 help nndatasets
 doc nndatasets

Hope this helps.

Greg

Best Answer

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MATLAB: Neural Network Plotting Confusion Matrix

MATLAB: Multilayer neural network with newff

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