Interactively recurrent fuzzy functions with multi objective learning and its application to chaotic time series prediction

DOI10.3233/IFS-151839zbMath1361.68178OpenAlexW2203112677MaRDI QIDQ2988619

Mohammad Hassan Moradi, Sobhan Goudarzi, Mohammad Khodabakhshi

Publication date: 19 May 2017

Published in: Journal of Intelligent & Fuzzy Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3233/ifs-151839

zbMATH Keywords

non-dominated sorting genetic algorithmmultivariate adaptive regression splinechaotic time-series predictionrecurrent fuzzy functionsunsupervised optimal fuzzy clustering

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Multivariate analysis and fuzziness (62H86)

Uses Software

• ANFIS

Cites Work

• Single-hidden-layer fuzzy recurrent wavelet neural network: applications to function approximation and system identification
• A 2uFunction representation for non-uniform type-2 fuzzy sets: theory and design
• Fuzzy functions with support vector machines
• A new fuzzy functions model tuned by hybridizing imperialist competitive algorithm and simulated annealing. Application: stock price prediction
• Independent coordinates for strange attractors from mutual information
• Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions

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