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A New Algorithm for Online Management of Fuzzy Rules Base for Nonlinear Modeling

  • Krystian ŁapaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 521)

Abstract

In this paper a new algorithm for online management of fuzzy rules base for nonlinear modeling is proposed. The online management problem is complex due to limitations of memory and time needed for calculations. The proposed algorithm allows an online creation and management of fuzzy rules base. It is distinguished, among the others, by mechanisms of: managing of number of fuzzy rules, managing of fuzzy rules weights and possibilities of background learning. The proposed algorithm was tested on typical nonlinear modeling problems.

Keywords

Neuro-fuzzy system Evolving fuzzy system Background learning 

Notes

Acknowledgment

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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Computational IntelligenceCzęstochowa University of TechnologyCzęstochowaPoland

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