Genetic fuzzy rule-based modelling of dynamic systems using time series

Authors:
Marian B. Gorzałczany;Filip Rudziński
Affiliations:
Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland;Department of Electrical and Computer Engineering, Kielce University of Technology, Kielce, Poland
Venue:
SIDE'12 Proceedings of the 2012 international conference on Swarm and Evolutionary Computation
Year:
2012

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Abstract

The paper presents a genetic fuzzy rule-based technique for the modelling of generalized time series (containing both, numerical and non-numerical, qualitative data) which are a comprehensive source of information concerning the behaviour of many complex systems and processes. The application of the proposed approach to the fuzzy rule-based modelling of an industrial gas furnace system using measurement data available from the repository at the http://www.stat.wisc.edu/˜reinsel/bjr-data (the so-called Box-Jenkins' benchmark) is also presented.