Paper
26 April 2006 Fuzzy modeling of friction by bacterial and least square optimization
Marcin Jastrzebski
Author Affiliations +
Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61593T (2006) https://doi.org/10.1117/12.674905
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcin Jastrzebski "Fuzzy modeling of friction by bacterial and least square optimization", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593T (26 April 2006); https://doi.org/10.1117/12.674905
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Cited by 1 scholarly publication.
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KEYWORDS
Fuzzy logic

Data modeling

Optimization (mathematics)

Systems modeling

Fuzzy systems

Genetic algorithms

Bacteria

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