434

  • Web Address
  • DOI
  • Date of creation in the UzSCI system12-03-2020
  • Read count411
  • Date of publication02-06-2019
  • Main LanguageO'zbek
  • Pages5
Tags
English

The methods of automation of industrial enterprises are investigated by means of artificial intelligence systems. Developed models and methods of intelligent control, maintenance, forecasting and diagnostics, principles of using artificial intelligence systems and their requirements for monitoring and decision making in the production process.

Name of reference
1 1. S. Dhanani, “Realizing industry 4.0: Essential system considerations. - application note,” Maxim Integrated. 2015. Web.
2 2. S. Y. Liang, M. Rajora, and P. Zou, “Intelligent manufacturing system for next generation factories,” Advances in Intelligent Systems Research, 2015
3 3. Quik, A. Examination of the Moderating Effect of Country Cultura l Dimensions on the Relation between Board Gender Diversity and Firm Financial Performance. Master’s Thesis, Radboud University, Nijmegen, The Netherlands, 2016
4 4. A. N. Haq, T. R. Ramanan, K. S. Shashikant, and R. Sridharan, “A hybrid neural network–genetic algorithm approach for permutation flow shop scheduling,” International Journal of Production Research, vol. 48, no. 14, pp. 4217-4231, 2010
5 5. G. Mejía, C. Montoya, J. Cardona, and A. L. Castro, “Petri nets and genetic algorithms for complex manufacturing systems scheduling,” International Journal of Production Research, vol. 50, no. 3, pp. 791-803, 2012
6 6. Liu, X.F.; Shahriar, M.R.; Al Sunny, S.M.N.; Leu, M.C.; Hu, L. Cyber-physical manufacturing cloud: Architecture, virtualization, communication, and testbed. J. Manuf. Syst. 2017, 43, 352–364. [CrossRef]
Waiting