489

  • Internet ҳавола
  • DOI
  • UzSCI тизимида яратилган сана 12-03-2020
  • Ўқишлар сони 466
  • Нашр санаси 03-06-2019
  • Мақола тилиO'zbek
  • Саҳифалар сони5
Калит сўзлар
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.

№ Муаллифнинг исми Лавозими Ташкилот номи
1 Mo'minov B.B. TATU
2 Eshonqulov H.I. Бухарский государственный институт
№ Ҳавола номи
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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