Identification of chaotic system using recurrent compensatory neuro-fuzzy systems

Abstract

In this paper, a recurrent compensatory neuro-fuzzy system (RCNFS) is proposed for identification and prediction. The compensatory-based fuzzy reasoning method is using adaptive fuzzy operations of neuro-fuzzy systems that can make the fuzzy logic systems more adaptive and effective. The recurrent network is embedded in the RCNFS by adding feedback… (More)

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Cite this paper

@article{Chen2005IdentificationOC, title={Identification of chaotic system using recurrent compensatory neuro-fuzzy systems}, author={Cheng-Hung Chen and Chin-Teng Lin}, journal={2005 9th International Workshop on Cellular Neural Networks and Their Applications}, year={2005}, pages={15-18} }