BULLETIN of the

POLISH ACADEMY of SCIENCES

TECHNICAL SCIENCES

BULLETIN of the POLISH ACADEMY of SCIENCES: TECHNICAL SCIENCES
Volume 52, Issue 1, March 2004
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pp 11 - 24
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A new method for system modelling and pattern classification
L. RUTKOWSKI
 
Abstract. In this paper we present a new class of neuro-fuzzy systems designed for system modelling and pattern classi.cation. Our approach is characterized by automatic determination of fuzzy inference in the process of learning. Moreover, we introduce several .exibility concepts in the design of neuro-fuzzy systems. The method presented in the paper is characterized by high accuracy which outperforms previous techniques applied for system modelling and pattern classi.cation.
 
Keywords:
system modelling, pattern classi.cation, neuro-fuzzy systems, .exible parameters, generalized triangular norms.

 
 
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24 May 2004, site prepared  by KZ