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Optical Memory and Neural Networks

, Volume 27, Issue 4, pp 297–307 | Cite as

Development of a Neural Network for a Boiler Unit Generating Water Vapour Control

  • E. A. MuravyovaEmail author
  • N. N. Uspenskaya
Article
  • 4 Downloads

Abstract

This article raises the question of neural networks application to control a boiler unit as a multidimensional system. The use of neural networks for managing technological processes helps to solve the problems of the operation of a complex control system, it improves its fail safety. The article proposes to apply a neural network to solve these problems. Technological process as a multidimensional system has been studied and described, the algorithm of the boiler has been described, neural network for controlling a boiler designed to produce water vapour under pressure has been developed, trained and tested. Development, training and testing of the neural network was carried out in Matlab program.

Keywords:

neural network neural network training neural network testing Matlab program boiler control saturated steam temperature 

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Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  1. 1.Ufa State Petroleum Technological UniversitySterlitamakRussia

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