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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.
This project is an customised, highly evolved open source L2J server emulation software. Main source bases mostly on L2JOfficial project files. Project is written in Java, Python, XML, HTML, SQL and so on. //// and is not available to all anymore. ho
Generates syntax highlighted HTML for almost all (including ASP,Aspect-J,AWK,C++,C#,COBOL,CSS,FreeMarker,Groovy,HTML,INI,Java,JavaScript,JSP,Makefile,Pascal,Perl,PHP,PL-SQL,Properties,Python,RTF,Smalltalk,TeX,VBScript,Velocity,XML,XSL) languages.
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