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Proceedings Paper

Fuzzy modeling of friction by bacterial and least square optimization
Author(s): Marcin Jastrzebski
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Paper Abstract

In this paper a new method of tuning parameters of Sugeno fuzzy models is presented. Because modeled phenomenon is discontinuous, new type of consequent function was introduced. Described algorithm (BA+LSQ) combines bacterial algorithm (BA) for tuning parameters of membership functions and least square method (LSQ) for parameters of consequent functions.

Paper Details

Date Published: 26 April 2006
PDF: 8 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593T (26 April 2006); doi: 10.1117/12.674905
Show Author Affiliations
Marcin Jastrzebski, Technical Univ. of Lodz (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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