ELASTIC AND DISSIPATIVE MATERIAL PROPERTIES DETERMINATION USING COMBINATION OF FEM AND COMPLEX ARTIFICIAL NEURAL NETWORKS

The application of the complex artificial neural networks (CANN) to the inverse identification problem of the elastic and dissipative properties of deformable solids is considered. The additional information to the inverse problem is components of the displacement vector measured in a set of points...

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Bibliographic Details
Main Authors: Arkady Nikolayevich Solovyev, Truong Giang Nguyen Duy
Format: Article
Language:Russian
Published: Don State Technical University 2014-06-01
Series:Advanced Engineering Research
Subjects:
Online Access:https://www.vestnik-donstu.ru/jour/article/view/313