Predicting chaotic time series with fuzzy if-then rules
- 30 December 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1079-1084
- https://doi.org/10.1109/fuzzy.1993.327364
Abstract
[[abstract]]The authors continue work on a previously proposed ANFIS (adaptive-network-based fuzzy inference system) architecture, with emphasis on the applications to time series prediction. They show how to model the Mackey-Glass chaotic time series with 16 fuzzy if-then rules. The performance obtained outperforms various standard statistical approaches and artificial neural network modeling methods reported in the literature. Other potential applications of ANFIS are also suggested[[fileno]]2030226030017[[department]]資訊工程學Keywords
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