DIAGNOSTICS OF THE TECHNICAL STATE OF AUTOMOBILES USING THE NEURAL NETWORK
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 1
Abstract
The article deals with the main mechanisms and principles of modern technical diagnostics of automobiles. The possibilities of avoiding the main disadvantages that arise during the diagnostics and exploration of a self-propelled wheeled vehicle analyzed. Demonstrated the necessity of introducing new technologies for planning and improving the efficiency of technical operation with the description of constructing an expert system based on technology using the capabilities of neural networks as a tool for practical solution of applied tasks in the field of diagnosing and forecasting the performance of a self-propelled wheeled vehicle. Substantiated the importance of improving the quality of diagnostic information analysis by introducing artificial neural networks into the control unit program.
Authors and Affiliations
Ю. Я. Тільняк, Я. І. Корнага
Keywords
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