On the construction of a nonlinear recursive predictor

DOI10.1016/J.CAM.2004.12.039zbMath1082.62082OpenAlexW1985257459MaRDI QIDQ818269

Yau Shu Wong, Ovidiu Voitcu

Publication date: 24 March 2006

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2004.12.039

zbMATH Keywords

artificial neural networksnonlinear time serieslong-term multi-step predictionnonlinear recursive prediction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series analysis of dynamical systems (37M10) Neural nets and related approaches to inference from stochastic processes (62M45)

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Cites Work

• Unnamed Item
• Time series forecasting using a hybrid ARIMA and neural network model
• Time series analysis using RBF networks with FIR/IIR synapses
• Local averaging optimization for chaotic time series prediction
• Nonlinear time series. Nonparametric and parametric methods
• Nonlinear Control of a Prototypical Wing Section with Torsional Nonlinearity
• Introduction to Dynamical Systems
• Approximation by superpositions of a sigmoidal function

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