Structured parameter optimization method for the radial basis function-based state-dependent autoregressive model

DOI10.1080/0020772021000059753zbMath1034.93063OpenAlexW2100255539MaRDI QIDQ4808250

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Publication date: 2002

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0020772021000059753

zbMATH Keywords

autoregressive modelLevenberg-Marquardt algorithmidentification algorithmstructured parameter optimization method

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Identification in stochastic control theory (93E12)

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Cites Work

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• Non-linear systems identification using radial basis functions
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• STATE-DEPENDENT MODELS: A GENERAL APPROACH TO NON-LINEAR TIME SERIES ANALYSIS
• Nonlinear time series modelling with the radial basis function-based state-dependent autoregressive model
• Supervised training algorithms for B-Spline neural networks and neuro-fuzzy systems
• The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
• A new look at the statistical model identification

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