DETERMINING THE LOCATION OF A CAVITY IN A SOLID STRUCTURE USING ARTIFICIAL NEURAL NETWORKS : Annotation for the graduation thesis / Anna Sergeevna Sheleg ; BSU, FACULTY OF MECHANICS AND MATHEMATICS, Department of Theoretical and Applied Mechanics; Academic Supervisor Marmysh D.Y..

Abstract

This thesis explores the application of artificial neural networks (ANNs) for accurately identifying defects, such as cavities and cracks, in solid structures. The research provides a comprehensive analysis of methodologies that integrate innovative approaches, including genetic algorithms and finite element methods, with advanced artificial intelligence technologies.