Modelling dynamic systems using ANFIS

Authors:
Efren Gorrostieta;Artemio Sotomayor;Marco Antonio Aceves;Carlos Pedraza;J. M. Ramos
Affiliations:
Facultad de Informatica, Universidad Autonoma de Queretaro, Queretaro, Mexico;Facultad de Informatica, Universidad Autonoma de Queretaro, Queretaro, Mexico;Facultad de Informatica, Universidad Autonoma de Queretaro, Queretaro, Mexico;Facultad de Informatica, Universidad Autonoma de Queretaro, Queretaro, Mexico;Facultad de Informatica, Universidad Autonoma de Queretaro, Queretaro, Mexico
Venue:
CIS'09 Proceedings of the international conference on Computational and information science 2009
Year:
2009

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Abstract

The next paper presents the development of a non-lineal dynamic system modelling using the combination of neural networks with fuzzy logic. The first approximation method used is ANFIS. With this method, the most significant rules were selected and slightly modified to obtain a significantly better result. This procedure was applied on a case study where an environmental system was modelled.