A fuzzy-neural resemblance approach to validate simulation models

DOI10.1007/s00500-006-0071-9zbMath1315.68239OpenAlexW2131239326MaRDI QIDQ855242

F. Put, Jurgen Martens, Etienne E. Kerre

Publication date: 4 January 2007

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-006-0071-9

zbMATH Keywords

simulationvalidationfuzzy-neural machine learningresemblance relations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• Unnamed Item
• A methodology for fitting and validating metamodels in simulation
• On (un)suitable fuzzy relations to model approximate equality
• Validation of Simulation Models via Simultaneous Confidence Intervals
• Spectral Analysis of Data Generated by Simulation Experiments with Econometric Models

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