Fuzzy Machine Learning Framework 1.0 release of data learning tools

The Fuzzy machine learning Framework is a GUI front-end for machine learning using intuitive fuzzy data, based on intuitionistic fuzzy sets and probability theory.

The main features are fuzzy functions and classes, based on the function of numerical computation of language variables, user-defined function, derivation and evaluation function, the classification function of multi-level system is established, the function of automatic thinning related functions, increment learning, the support of fuzzy control language, extensible object and automatic garbage collection object-oriented software design, through ODBC, Text I/O and HTML output support for universal data, Advanced http://www.aliyun.com/zixun/aggregation/18378.html "> graphical user interface, based on gtk++ usage paradigm.

The Fuzzy machine Learning Framework 1.0 is a minor bug fix and is the first package for Fedora and Debian.

Software Information: http://www.dmitry-kazakov.de/ada/fuzzy_ml.htm

Download Address: http://www.dmitry-kazakov.de/ada/fuzzy_ml_download.htm