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AI::NNFlex - A base class for implementing neural networks ++

AI::NNFlex is a base class for constructing your own neural network modules. To implement a neural network, start with the documentation for AI::NNFlex::Backprop, included in this distribution CONSTRUCTOR AI::NNFlex->new ( parameter => value ); rando...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 GMT - Search in distribution

AI::NNEasy - Define, learn and use easy Neural Networks of different types using a portable code in Perl and XS. ++

The main purpose of this module is to create easy Neural Networks with Perl. The module was designed to can be extended to multiple network types, learning algorithms and activation functions. This architecture was 1st based in the module AI::NNFlex,...

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 GMT - Search in distribution

AI::NeuralNet::Simple - An easy to use backprop neural net. ++

The Disclaimer Please note that the following information is terribly incomplete. That's deliberate. Anyone familiar with neural networks is going to laugh themselves silly at how simplistic the following information is and the astute reader will not...

OVID/AI-NeuralNet-Simple-0.11 - 18 Nov 2006 15:53:01 GMT - Search in distribution

InSilicoSpectro::InSilico::RetentionTimer::Petritis ++

Predicts HPLC retention time for peptides METHODS my $rt=InSilicoSpectro::InSilico::RetentionTimer::Petritis->new(%h ) %h contains a hash $rt->learn( data=>{expseqs=>\@seqs,exptimes=>\@times}, mode=>'verbose',maxepoch=>100, sqrerror=>1e-3,mode=>'verb...

ALEXMASS/InSilicoSpectro-1.3.24 - 21 Aug 2008 11:13:26 GMT - Search in distribution

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