Intellectualization of technological processes in the context of developing a methodology for technical and humanitarian expertise using neural

Sheleketa, Vladislav Olegovich
D.Sс. in Philosophy, Professor, Department of Theory and Methodology of Science, V.G. Shukhov Belgorod State Technological University
vladshelo@mail.ru

Naumov, Andrey Evgenievich
Ph.D. in Engineering, Assistant Professor, Head of the Department of Construction Management and Real Estate, V.G. Shukhov Belgorod State Technological University
kafeun@ mail.ru

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Abstract
A methodology for diagnosing the defects and forming the foundations for further advising analytics is proposed, which greatly simplifies the choice of the best and economically rational management decisions in the technical operation of buildings, is proposed on the basis of introducing elements of neural network analysis and providing information modeling into expert activities. The authors propose certain provisions and narratives for the intellectualization of technical systems using neural network training for a system for recognizing and diagnosing established defects in technological projects, in particular, building structures, in order to introduce humanitarian principles into technological expertise.

Keywords: expertise of technical condition, information modeling, narratives, neural network training, methodology of humanitarian expertise