Search Results for "artificial intelligence algorithm" - Page 10
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Showing 258 open source projects for "artificial intelligence algorithm"
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A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
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A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.
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SimpleDomino is a Server for a Programming Competition from Schoolinux and Linux-dubai.com for School Students. It uses TCP/IP for Communications. (It's base on Linux but can port to Windows) You can start your own Competition or Help us to develop this P
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RL++ is an easy to use modular open source library for Reinforcement Learning written in C++. It includes learning algorithms (TD, Sarsa, Q) as well as the implementation of value function representations (LookupTable, TileCoding, Neuronal Network).
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The Parameter Tuning Unity (PTU) aims to adapt the parameters of ever connected multi-agents system, or expert system with a plugged optimization heuristic likes the descent of gradient for instance.
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It moves by itself inside networks like virus infection & plagues, it is being written to solve computer virus problem drastically and responsibly. It is legal, free and open for public domain to improve W3 ICT Security.
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This is a cross-platform framework for using Genetic Algorithms for solutions. Written in Java and uses convinient plug-in features for every phase in the genetic development, while maintaining an easy-to-use API for easy integration into applications.
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This simplesudodu program is intend for studying in the sudoku solution algorithm rather than a game (If you want to make it a game, it's OK ^_^). Later I will implement the 4*4 or other kinds. Different sudoku requires different algorithm to solve.
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Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
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GENet
A genetic algorithm framework for artificial neural networks.
A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks. -
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A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
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It's an implementation of the A* algorithm together with a grid processor which pre-processes 8-bit bpm graphic files using a variable resolution and an SDL user interface to test it.
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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
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eclipse_with_ocr
creatin ocr tool for eclipse
we can use ocr programming in eclipse and everybody can create different things with using ocr in eclipse.join us and lets do it! -
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Bebops ("Belief Base Operations") provides semi-revision, contraction and kernel operators for an OWL-backed Belief Base.
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The "Knight's Tour" is a puzzle the object is to move a knight, to every other square, landing on each square only once. This is usually considered to be a challenging puzzle. I will use a heuristic (hyu̇-ˈris-tik) approach to solve the problem.
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Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.
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This project aim to provide a crowd movement simulation based on primitive human behaviours and emerging behaviours for research and educational purposes. The application (front-end) is generic and can be reused.
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Small implementation of Push 3 programming language in Common Lisp. Push 3 is described here http://tinyurl.com/push30. Push is a programming language intended primarily for use in evolutionary computation systems.
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Model-based AI planner using binary decision diagrams. PropPlan parses PDDL descriptions of the domain and the problem, and outputs a plan.
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A tool to extract taxonomy from OWL ontology, translate it into Bayesian Nets and integrate uncertainty knowledge into result BNs.
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Large amounts of clinical information are locked up in free text of clinical adverse event reports. AEFI Tools is a toolkit to extract information from free text using NLP, machine learning and the Unified Medical Language System.
