Radial basis function neural network model for mean velocity and vorticity of capillary flow

DOI10.1002/fld.2418zbMath1426.76529OpenAlexW1996382382MaRDI QIDQ2892491

Mostafa Y. Elbakry

Publication date: 18 June 2012

Published in: International Journal for Numerical Methods in Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/fld.2418

zbMATH Keywords

laminar flowvorticityneural networksradial basis function neural networkcapillary flowmean velocity

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Capillarity (surface tension) for incompressible viscous fluids (76D45)

Cites Work

• Backpropagation multi-layer perceptron for incomplete pairwise comparison matrices in analytic hierarchy process
• Feed forward neural networks modeling for K--P interactions
• Model selection in neural networks: some difficulties
• GENETIC PROGRAMING MODELING FOR NUCLEUS–NUCLEUS COLLISIONS
• Neural Network Representation for the Forces and Torque of the Eccentric Sphere Model
• ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM HYBRID TECHNIQUE FOR NUCLEUS–NUCLEUS COLLISIONS

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