
Neural network approach to solving the inverse problem of surface-waves generation
Author(s) -
Е. А. Воронин,
V. N. Nosov,
A. S. Savin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1392/1/012022
Subject(s) - inverse , inverse problem , surface (topology) , artificial neural network , cylinder , free surface , basis (linear algebra) , computer science , acoustics , artificial intelligence , mathematics , engineering , physics , mechanical engineering , mechanics , mathematical analysis , geometry
The paper proposes an approach to the inverse tasks of the surface-waves generation, based on information technologies of machine learning. On the basis of this approach, a method has been developed for determining the parameters of a cylinder and a wing profile moving in fluid according to a laboratory experiment about a free surface liquid disturbed by them.