Principal feasibility studies using neuro-numerics for prediction of flow fields

DOI10.1023/A:1019715708597zbMath1008.68761OpenAlexW1561665874MaRDI QIDQ1857751

Antonio Delgado, Rainer M. Benning, Thomas M. Becker

Publication date: 19 February 2003

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1019715708597

zbMATH Keywords

predictionmodellingartificial neural networkshybrid systemflow fieldsa priori knowledge

Mathematics Subject Classification ID

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

Related Items (2)

Neural networks analysis of free laminar convection heat transfer in a partitioned enclosure ⋮ Inter-model comparison of CFD and neural network analysis of natural convection heat transfer in a partitioned enclosure

This page was built for publication: Principal feasibility studies using neuro-numerics for prediction of flow fields