Application of machine translation techniques for the automatic selection of the technological process

Abstract

This research deals with the problem of developing a design and technological documentation for a new product in terms of technological processes selection, according to the list of components from the product specification. Practical experience in the implementation of automated control systems in manufacturing enterprises of the machine-building industry and the latest technologies in the field of machine learning were used. The concept of using machine learning for automating the selection of technological processes was developed based on a list of components. As a technique of machine learning, the methodology sequence to sequence is proposed.