TSK-fuzzy modeling based on ϵ-insensitive learning.

In this paper, new learning methods tolerant to imprecision are introduced and applied to fuzzy modeling based on the Takagi-Sugeno-Kang fuzzy system. The fuzzy modeling has an intrinsic inconsistency. It may perform thinking tolerant to imprecision, but learning methods are zero-tolerant to impreci...

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Detalhes bibliográficos

Publicado no:	IEEE Transactions on fuzzy systems 13, 2 (2005).
Autor principal:	Leski, J.M
Formato:	Artigo
Idioma:	inglês
Assuntos:	Takagi-Sugeno-Kang fuzzy system. Fuzzy modeling. Learning method. Linear inequalities. Quadratic programming. Support vector regression machine. Insensitive learning.