Supervised training algorithms for B-Spline neural networks and neuro-fuzzy systems

DOI10.1080/00207720210155062zbMath1060.93064OpenAlexW2027133307MaRDI QIDQ4787947

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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/10.1080/00207720210155062

zbMATH Keywords

neural networksB-splinesneuro-fuzzy systemLevenberg-Marquardt algorithmsupervised training

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

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• Multivariate adaptive regression splines
• Approximate reasoning by linear rule interpolation and general approximation
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• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• An experiment in linguistic synthesis with a fuzzy logic controller
• A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems
• Neurofuzzy identification of an autonomous underwater vehicle
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
• Fuzzy sets

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