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Feed-forward neural network solution for python

Project description

Basic usage of the package is outlined below:

>>> from ffnet import ffnet, mlgraph, savenet, loadnet, exportnet
>>> conec = mlgraph( (2,2,1) )
>>> net = ffnet(conec)
>>> input = [ [0.,0.], [0.,1.], [1.,0.], [1.,1.] ]
>>> target  = [ [1.], [0.], [0.], [1.] ]
>>> net.train_tnc(input, target, maxfun = 1000)
>>> net.test(input, target, iprint = 2)
>>> savenet(net, "xor.net")
>>> exportnet(net, "xor.f")
>>> net = loadnet("xor.net")
>>> answer = net( [ 0., 0. ] )
>>> partial_derivatives = net.derivative( [ 0., 0. ] )

For instalation instructions and documentation go to http://ffnet.sourceforge.net.

Note: ffnet has now a graphical user interface ffnetui.

Release notes

0.8.3

License switched to LGPL. Only minor updates in code are performed, no API changes are made. Along with this version, new graphical user interface ffnetui-0.8.3 has been released.

0.8.0

This version supports python 3. Only minor changes in code (and no API changes) are made in comparison to previous release, all scripts should run without problems.

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