AI::NNFlex - A base class for implementing neural networks River stage zero No dependents

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...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Mathlib - miscellaneous mathematical functions for the AI::NNFlex NN package River stage zero No dependents

The AI::NNFlex::Mathlib package contains activation and error functions. At present there are the following: Activation functions * tanh * linear * hopfield_threshold Error functions * atanh If you want to implement your own activation/error function...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Dataset - support for creating/loading/saving datasets for NNFlex nets River stage zero No dependents

This module allows you to construct, load, save and maintain datasets for use with neural nets implemented using the AI::NNFlex classes. The dataset consists of an array of references to arrays of data. Items may be added in pairs (useful for feedfor...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Backprop - a fast, pure perl backprop Neural Net simulator River stage zero No dependents

AI::NNFlex::Backprop is a class to generate feedforward, backpropagation neural nets. It inherits various constructs from AI::NNFlex & AI::NNFlex::Feedforward, but is documented here as a standalone. The code should be simple enough to use for teachi...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Hopfield - a fast, pure perl Hopfield network simulator River stage zero No dependents

AI::NNFlex::Hopfield is a Hopfield network simulator derived from the AI::NNFlex class. THIS IS THE FIRST ALPHA CUT OF THIS MODULE! Any problems, let me know and I'll fix them. Hopfield networks differ from feedforward networks in that they are effec...

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Reinforce - A very simple experimental NN module River stage zero No dependents

Reinforce is a very simple NN module. It's mainly included in this distribution to provide an example of how to subclass AI::NNFlex to write your own NN modules. The training method strengthens any connections that are active during the run pass....

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNFlex::Feedforward - methods for feedforward neural networks River stage zero No dependents

AI::NNFlex::Feedforward provides a run method to flow activation through an NNFlex network in west to east feedforward style....

CCOLBOURN/AI-NNFlex-0.24 - 17 Jun 2005 10:12:25 UTC

AI::NNEasy - Define, learn and use easy Neural Networks of different types using a portable code in Perl and XS. River stage zero No dependents

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 UTC

AI::NeuralNet::Simple - An easy to use backprop neural net. River stage zero No dependents

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 UTC
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