Abstract
The purpose of this paper is to describe a tool that is easy to use for implementing self learning fuzzy systems. This tool which is called FuNNy generates fuzzy systems. The tool consists of a compiler and a C learning library. The compiler translates a fuzzy system (written in a dedicated language, called FuNNy language) to C. The C learning library contains the learning algorithm. The generated C code is simple standard C and therefore it can be applied to all computers with a C-compiler. The learning algorithm is either a gradient descend method based on a numerical calculation of the gradient or a random search method. The input fuzzyfication can be described by four different kinds of membership functions. The output fuzzyfication is based on singletons. The rule base can be written in a natural language. The result of the learning is a new version of the fuzzy system described in the FuNNy language.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2005 International Conference on Machine Learning; Models, Technologies and Applications |
| Antal sider | 5 |
| Publikationsdato | 2005 |
| Status | Udgivet - 2005 |
| Begivenhed | The 2005 International Conference on Machine Learning; Models, Technologies and Applications - Las Vegas, Nevada, USA Varighed: 27 jun. 2005 → 30 jun. 2005 |
Konference
| Konference | The 2005 International Conference on Machine Learning; Models, Technologies and Applications |
|---|---|
| Land/Område | USA |
| By | Las Vegas, Nevada |
| Periode | 27/06/2005 → 30/06/2005 |