Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/220283
Title: | Neural Network Method in the Problem of Defining Steady State Creep in Rotating Solid Disks |
Authors: | Kuznetsov, E. B. Leonov, S. S. Vasilyev, A. N. |
Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика |
Issue Date: | 2017 |
Publisher: | Minsk : Education and Upbringing |
Citation: | Nonlinear Phenomena in Complex Systems. - 2017. - Vol. 20, N 4. - P. 374 - 381 |
Abstract: | This paper deals with a problem of defining steady state stress in rotating solid titan alloy aviation disks at constant temperature. The problem is described by a system of ordinary differential equations with boundary conditions. The energy variant of the creep theory is used. Technique of neural network modeling is applied to the solution of this problem. The neural network approximation computed for the solution agrees well with the results of other authors. |
URI: | http://elib.bsu.by/handle/123456789/220283 |
ISSN: | 1561-4085 |
Licence: | info:eu-repo/semantics/restrictedAccess |
Appears in Collections: | 2017. Volume 20. Number 4 |
Files in This Item:
File | Description | Size | Format | |
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v20no4p374.pdf | 482,98 kB | Adobe PDF | View/Open |
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