AI::Genetic::OpMutation - A class that implements various mutation operators. River stage zero No dependents

This package implements a few mutation mechanisms that can be used in user-defined strategies. The methods in this class are to be called as static class methods, rather than instance methods, which means you must call them as such: AI::Genetic::OpCr...

AQUMSIEH/AI-Genetic-0.05 - 11 May 2007 17:51:29 UTC

AI::NeuralNet::Hopfield - A simple Hopfiled Network Implementation. River stage zero No dependents

LEPREVOST/AI-NeuralNet-Hopfield-0.1 - 05 Mar 2013 04:27:59 UTC

AI::NaiveBayes::Learner - Build AI::NaiveBayes classifier from a set of training examples. River stage one • 1 direct dependent • 1 total dependent

This is a trainer of AI::NaiveBayes classifiers. It saves information passed by the "add_example" method from training data into internal structures and then constructs a classifier when the "classifier" method is called....

ZBY/AI-NaiveBayes-0.04 - 20 Jan 2017 13:44:44 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::CBR::Case::Compound - compound case definition and representation River stage zero No dependents

OBRADOVIC/AI-CBR-0.02 - 31 Jul 2009 09:07:03 UTC

AI::MicroStructure::foo - The foo structure River stage zero No dependents

The classic. This is the default structure. As from version 0.85, this structure is multilingual....

SANTEX/AI-MicroStructure-0.20 - 03 Dec 2015 07:43:12 UTC

AI::Prolog::ChoicePoint - Create a choicepoint object for the Engine. River stage one • 2 direct dependents • 2 total dependents

See AI::Prolog for more information. If you must know more, there are plenty of comments sprinkled through the code....

DOUGW/AI-Prolog-0.741 - 26 Mar 2011 19:56:21 UTC

Number::Phone::NANP::AI - AI-specific methods for Number::Phone River stage two • 13 direct dependents • 17 total dependents

This class implements AI-specific methods for Number::Phone. It is a subclass of Number::Phone::NANP, which is in turn a subclass of Number::Phone. Number::Phone::NANP sits in the middle because all NANP countries can share some significant chunks of...

DCANTRELL/Number-Phone-3.7002 - 09 Mar 2021 19:14:30 UTC

AI::MXNet::Symbol::Base River stage one • 2 direct dependents • 2 total dependents

A convenience class that loads all C++ symbol related functions at runtime....

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

lib/AI/NNEasy/NN.pm River stage zero No dependents

GMPASSOS/AI-NNEasy-0.06 - 17 Jan 2005 02:25:07 UTC

AI::NeuralNet::BackProp - A simple back-prop neural net that uses Delta's and Hebbs' rule. River stage zero No dependents

AI::NeuralNet::BackProp implements a nerual network similar to a feed-foward, back-propagtion network; learning via a mix of a generalization of the Delta rule and a disection of Hebbs rule. The actual neruons of the network are implemented via the A...

JBRYAN/AI-NeuralNet-BackProp-0.89 - 17 Aug 2000 07:21:47 UTC

AI::Pathfinding::SMAstar - Simplified Memory-bounded A* Search River stage zero No dependents

Overview Simplified Memory-bounded A* search (or SMA* search) addresses some of the limitations of conventional A* search, by bounding the amount of space required to perform a shortest-path search. This module is an implementation of SMA*, which was...

MBEEBE/AI-Pathfinding-SMAstar-0.07 - 04 Apr 2010 20:18:22 UTC

AI::NeuralNet::SOM::Rect - Perl extension for Kohonen Maps (rectangular topology) River stage zero No dependents

DRRHO/AI-NeuralNet-SOM-0.07 - 24 May 2008 07:07:15 UTC

AI::ExpertSystem::Simple - A simple expert system shell River stage zero No dependents

Overview This class is where all the work is being done and the other three classes are only there for support. At present there is little you can do with it other than run it. Future version will make subclassing of this class feasable and features ...

PETERHI/AI-ExpertSystem-Simple.1.2 - 25 Aug 2003 13:43:53 UTC

AI::MXNet::KVStoreServer - The key-value store server. River stage one • 2 direct dependents • 2 total dependents

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::MXNet::NDArray::Base River stage one • 2 direct dependents • 2 total dependents

This module provides a convenient interface to a C++ functions that work with NDArray. Essentially it loads them up during the lib startup into the Perl space....

SKOLYCHEV/AI-MXNet-1.5 - 19 Feb 2020 20:30:57 UTC

AI::Genetic::OpSelection - A class that implements various selection operators. River stage zero No dependents

This package implements a few selection mechanisms that can be used in user-defined strategies. The methods in this class are to be called as static class methods, rather than instance methods, which means you must call them as such: AI::Genetic::OpS...

AQUMSIEH/AI-Genetic-0.05 - 11 May 2007 17:51:29 UTC

AI::Genetic::OpCrossover - A class that implements various crossover operators. River stage zero No dependents

This package implements a few crossover mechanisms that can be used in user-defined strategies. The methods in this class are to be called as static class methods, rather than instance methods, which means you must call them as such: AI::Genetic::OpC...

AQUMSIEH/AI-Genetic-0.05 - 11 May 2007 17:51:29 UTC

Games::Risk::AI::Hegemon - ai that tries to conquer the world River stage one • 3 direct dependents • 3 total dependents

This artificial intelligence is optimized to conquer the world. It checks what countries are most valuable for it, optimizes attacks and moves for continent bonus and blocking other players....

JQUELIN/Games-Risk-4.000 - 04 Apr 2014 13:13:31 UTC

AI::Classifier::Japanese - the combination wrapper of Algorithm::NaiveBayes and Text::MeCab. River stage zero No dependents

AI::Classifier::Japanese is a Japanese-text category classifier module using Naive Bayes and MeCab. This module is based on Algorithm::NaiveBayes. Only noun, verb and adjective are currently supported....

SHINGT/AI-Classifier-Japanese-0.01 - 17 Mar 2014 07:40:41 UTC
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