520

  • Ссылка в интернете
  • DOI
  • Дата создание в систему UzSCI 12-03-2020
  • Количество прочтений 497
  • Дата публикации 03-06-2019
  • Язык статьиO'zbek
  • Страницы5
Ключевые слова
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.

№ Имя автора Должность Наименование организации
1 Mo'minov B.B. TATU
2 Eshonqulov H.I. Бухарский государственный институт
№ Название ссылки
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]
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