Developing innovative training production reference system and optimization techniques in the aircraft engine

Authors

  • Sergey Grigorevich Selivanov
  • Oksana Aleksandrovna Gavrilova (Borodkina)

Keywords:

functional models; information technology; probability-recursive method; innovative technology; engineering; multicriteria optimization; neural network techniques; probability distributions; advanced processes;

Abstract

Application of artificial intelligence methods in technological tasks allows cluster analysis details. With the help of artificial intelligence can implement multi-criteria optimization of technological processes. New methods for reducing the volume of work on the preparation of competitive products, allows us to find rational solutions for the development of project documentation.

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Published

2018-21-11

Issue

Vol. 18 No. 4 (65) (2014): Вестник УГАТУ

Section

MECHANICAL ENGINEERING AND ENGINEERING SCIENCE