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A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.
This terminal app runs on PCs or laptops running OSX or GNU/Linux. It attempts to mimic the functionality of an HP ReversePolishNotation [RPN] calculator with the added enhancement of interval output. So along with your answer, you get a good idea of its trustworthiness.
This app uses GAOL, a C++ library to perform arithmetic with floating-point intervals.
GTKAda wrapper is a very simplified interface to GTK Ada. It is intended to be used by beginner Ada programmers (students at the beginning of the computer science courses) to easily build graphical applications.
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AdaPackageTesting is a tool for developers using the Ada95 programming language. With him, it's very fast to create the structure of a test program based of the package specifications (.ads).