An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and Synchronization

Abstract

This paper aims to propose a more efficient control algorithm for chaos time-series prediction and synchronization. A novel type-2 fuzzy cerebellar model articulation controller (T2FCMAC) is proposed. In some special cases, this T2FCMAC can be reduced to an interval type-2 fuzzy neural network, a fuzzy neural network, and a fuzzy cerebellar model… (More)
DOI: 10.1109/TCYB.2013.2254113

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@article{Lee2014AnEI, title={An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and Synchronization}, author={Ching-Hung Lee and Feng-Yu Chang and Chih-Min Lin}, journal={IEEE Transactions on Cybernetics}, year={2014}, volume={44}, pages={329-341} }