of overparametrization in non-linear system identification and neural networks

DOI10.1080/00207720110121105zbMath1021.93007OpenAlexW2124610974MaRDI QIDQ4784556

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Publication date: 16 October 2003

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

Full work available at URL: https://doi.org/10.1080/00207720110121105

zbMATH Keywords

neural networksoverparametrizationnonlinear system identificationoverfittingNARMAX modelsqualitative validation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30) Nonlinear systems in control theory (93C10)

Related Items (1)

Model selection approaches for non-linear system identification: a review

Cites Work

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• Nonlinear prediction of chaotic time series
• Input-output parametric models for non-linear systems Part I: deterministic non-linear systems
• A Theory of Cell-to-Cell Mapping Dynamical Systems
• Orthogonal least squares methods and their application to non-linear system identification
• VALIDATING IDENTIFIED NONLINEAR MODELS WITH CHAOTIC DYNAMICS
• Qualitative validation and generalization in non-linear system identification
• Model validation tests for multivariable nonlinear models including neural networks

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