Abstract
The quasi-linear nature of TSK models allows separating the identification problem into two sub-problems:
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appropriate partitioning of the state space of interest by clustering;
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parameter identification of the consequent part.
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© 2002 Springer-Verlag Berlin Heidelberg
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Angelov, P.P. (2002). Quasi-Linear Approach to FRB Models (Off-Line) Identification. In: Evolving Rule-Based Models. Studies in Fuzziness and Soft Computing, vol 92. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1794-2_5
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DOI: https://doi.org/10.1007/978-3-7908-1794-2_5
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2506-0
Online ISBN: 978-3-7908-1794-2
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