Difference between revisions of "Bp 175 en"
| Line 4: | Line 4: | ||
[[Bakalářské práce 2008]] | [[Bakalářské práce 2008]] | ||
| + | |||
| + | [[Image:175_bp_en.gif]] | ||
This bachelor’s project is focused on the approximation of function with use | This bachelor’s project is focused on the approximation of function with use | ||
Revision as of 08:41, 5 May 2010
Function Approximation Using Fuzzy Clustering
Author: Petr Mik
This bachelor’s project is focused on the approximation of function with use algorithms and methods of fuzzy clustering analysis for recognition of data, and Mamdani or Takagi-Sugeno fuzzy systems for approximation of desired function. There are mentioned the basic concept of adjustment parameters of this systems with the aid of fuzzy c-means (FCM) and Gustafson-Kessel (GK) algorithms in this project. The verification of approximation on two or three dimensional data ensues next. The time and the quality of approximation are measured by verification of results.
- Mik Petr, mailto:mikp2@fel.cvut.cz
- Hušek Petr, mailto:husek@fel.cvut.cz
