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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.
a drawing panel module in java using swing for hand written input based projects.
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
Stylus/Handwriting Input Panel. This is a user-configurable, gesture-aware keyboard/handwriting input panel for text entry on Linux (and other) tablet computers using the X11 system. Needs Ink2Text (<=best) or MSInkServer project for recognition.
Neuroph OCR - HandwritingRecognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.