Clarification of the Technical Requirement Parameters for Vehicle Designing Using a Neural Network

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Authors: Дьяков Иван Федорович, Елизавета Владиславовна Дьякова
Cited by: 0
References: 2

Abstract

Abstract The paper considers the key parameters of the technical requirement for vehicle designing using neural networks and the main criteria for their optimality, as well as describes the processes of predicting the aggregate resource based on neural networks, which increase the accuracy of estimates and the quality of design. The technical requirement parameters are clarified based on the UAZ-3303 vehicle. Data on the resources of individual aggregates are provided.

Fields of Study & Subjects

Industrial Technology and Control Systems Product Development and Customization Neural Networks and Applications

Publication details

Journal / source
Russian Engineering Research
Volume
46
Issue
1
Pages
6–13
Publication date
1 January 2026
Language
EN