Abstract
The identification of nonlinear dynamic systems using fuzzy neural networks is studied. A fast recursive algorithm (FRA) is proposed to select both the fuzzy regressor terms and associated parameters. In comparison with the popular orthogonal least squares (OLS) method, FRA can achieve the fuzzy neural modelling with high accuracy and less computational effort. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Pizzileo, B., Li, K., & Irwin, G. W. (2007). A fast fuzzy neural modelling method for nonlinear dynamic systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 496–504). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_59
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