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Title of Article

IDENTIFICATION OF DEFECTS IN ELASTIC STRUCTURES BASED ON ARTIFICIAL NEURAL NETWORKS


Issue
4
Date
2011

Article type
scientific article
UDC
 
Pages
1549-1551
Keywords
 


Authors
Krasnoschekov A.A.
Donskoy gosudarstvennyy tekhnicheskiy universitet, Rostov-na-Donu


Abstract
A method for the identification of defects in elastic elements of structures based on artificial neural networks is presented. The problem of constructing a simulation model of the object, the optimal placement of sensors using the genetic algorithm and the subsequent identification of the defect was solved . Use of different architectures and learning algorithms of FFNN is investigated.

File (in Russian)