@ARTICLE{Rutkowski_L._A_2004,
 author={Rutkowski, L.},
 volume={vol. 52},
 number={No 1},
 journal={Bulletin of the Polish Academy of Sciences Technical Sciences},
 pages={11-24},
 howpublished={online},
 year={2004},
 abstract={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.},
 type={Artykuły / Articles},
 title={A new method for system modelling and pattern classification},
 URL={http://www.czasopisma.pan.pl/Content/111801/PDF/(52-1)11.pdf},
 keywords={system modelling, pattern classification, neuro-fuzzy systems, flexible parameters, generalized triangular norms},
}