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New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base

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Book cover Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

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Abstract

The problem of online nonlinear modelling emerges among others from limitations of memory. This problem is often solved by using evolving systems. Evolving fuzzy systems play significant role as they are distinguishable by clear representation of knowledge (by fuzzy rules) which allows an interpretation of their behavior. The structure and the parameters of those systems can be selected online. Moreover, the fuzzy rules can represent operating points of modeled object, which can also be identified online. Then, the data from identification can be used for learning. In this paper we proposed an evolving fuzzy system for nonlinear modelling with endless number of steady states and negligible time of non-steady states. It is based on analysis of firing level of the fuzzy rules with possibilities of background learning.

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Acknowledgments

The project was financed by the National Science Centre (Poland) on the basis of the decision number DEC-2012/05/B/ST7/02138.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland

    Krystian Łapa & Krzysztof Cpałka

  2. Department of Computer Science, Meiji University, Tokyo, Japan

    Yoichi Hayashi

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  1. Krystian Łapa
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  2. Krzysztof Cpałka
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  3. Yoichi Hayashi
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Correspondence to Krystian Łapa .

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Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Łapa, K., Cpałka, K., Hayashi, Y. (2016). New Approach for Nonlinear Modelling Based on Online Designing of the Fuzzy Rule Base. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_21

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_21

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