Neural network method of optimization of innovative technologies

Authors

  • Sergey Grigorevich Selivanov
  • Oksana Aleksandrovna Gavrilova (Borodkina)

Keywords:

neural network methods; probabilistic and recursive method; multi-objective optimization; information model; probability distributions; advanced manufacturing processes; risks.

Abstract

 The use of artificial intelligence methods in technological tasks allows multiobjective optimization perspective and design processes. These methods make it possible to select and transfer the best of innovative, high and critical technologies. Using these methods, not only reduces the complexity of work within the problem-oriented automated system for pre-production, but also allows us to find optimal solutions for the time-processing complete sets of technical documentation, which is necessary for the reconstruction and technical re-equipment of production.

Published

2018-26-11

Issue

Section

MECHANICAL ENGINEERING AND ENGINEERING SCIENCE