Применение нейронных сетей для решения задач в машиностроении

Abstract

The lion’s share of the investigations concerned neural network technology falls on manufacture tasks. There is a tendency towards switching to highly automated cells in this field. It requires volume of intelligent machines. In this connection, approaches to manufacture processes modelling based on empirical models, in particular neural networks, gain more and more importance. This approach provides with a great scope for creating models that are able to work with low errors in real time, and are capable of self-training while being utilized. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/1572