Search Results for "genetic algorithm c"
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Showing 10 open source projects for "genetic algorithm c"
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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LazyEngine is a collection of Tools for PHP, C# and JavaScript (based on JQuery). The goal is to have a Library that contains most common functions daily used by software developers.
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Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
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This is an algorithm to codify Spanish words to an equivalent phonetic code. That intends to be a substitute of Soundex algorithm that is not practical to use in Spanish. It is very useful for search engines based on text information.
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OMG is an online 2-D Mesh Generator. Using Shewchuka Triangle (written in C) to generate DT and a Quadtree algorithm (written in php) to triangulate a PSLG. A few Import end Export functions are included. Using SVG to display meshes.
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This will be a implementation of Google PageRank Algorithm. For calculate the PR, could be use various PCs for speed up.
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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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GACS (Genetic Algorithm Class Scheduler) aims to provide to academic institutions an efficient and automatic way to generate their time scheduling for the classes that will be imparted in an academic period.
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The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.
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