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Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems

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Publication:1852070
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DOI10.1016/S0925-2312(00)00339-8zbMath1003.68645WikidataQ59562660 ScholiaQ59562660MaRDI QIDQ1852070

Andreas Nürnberger, Rudolf Kruse, Arne Radetzky

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)


zbMATH Keywords

system identificationvirtual realityneuro-fuzzyviscoelastic modelrecurrent network


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


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A fuzzy-neural multi-model for nonlinear systems identification and control ⋮ Hybrid neuro-fuzzy approach to the generation of measuring points for knowledge-based inspection planning



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