Algorithm for optimization of the membership function of the fuzzy control model on the basis of the probabilistic approach.

Admin bo'lib kirish (www.admin.slib.uz)

Tizim sinov (TEST) rejimida ishlamoqda! Murojat uchun @slib_support

Eski talqinga o'tish link

10 январ 2020

Asosiy til:Ingliz

Algorithm for optimization of the membership function of the fuzzy control model on the basis of the probabilistic approach.

Fan yo'nalishi:

5e186da2f191c.pdf

PDF

Kimyoviy texnologiya. Nazorat va boshqaruv

Maqola chop etish see more

MAQOLA ANNOTATSIYASI

The problem of optimization of the fuzzy control model of the drying unit in the cotton ginning industry operating under conditions of a priori uncertainty is considered. As an example, the process of temperature control in a drying unit is considered. As methods of optimization, it is proposed to use probabilistic methods. As an optimization parameter, the fuzzy model membership functions are used. A comparative analysis of the results obtained on the basis of simulation modeling before and after optimization is carried out.

MUALIFLAR

Teglar

# temperature# fuzzy model# membership function# optimization algorithm# probability theory# accuracy estimation# drying unit

Maqolani baholang

0

0 ta

Maqola idintifikatorlari

ROI:

https://eroi.uz/11.0008/A0120-0023

DOI:

Mavjud emas

Foydalanilgan adabiyotlar

1. Sinyavskaya E.D. Analysis of the accuracy of the fuzzy model and optimization of its parameters by the example of temperature control in a baking chamber. Materials of the II All-Russian Scientific and Practical Conference "Youth, Science, Innovation", Grozny 20133.с. 95-100. 2. Alp Yanar T., Akyurek Z., 2011 Fuzzy model tuning using simulated annealing, Expert Systems with Applications.№38: 8159-8169. 3. Shtovba S.D. Ensuring the accuracy and transparency of the fuzzy model of Mamdani in training on experimental data // Problems of Management and Informatics.2007.№4.с.1-13. 4. Shtovba S.D. Designing control systems Fuzzy Logic Toolbox. URL: http: // matlab. exponenta.ru/. 5. Gmurman V.E. Probability theory and mathematical statistics M: Vshshaya shkola, 2003.479p. 6. Baudrita C., Duboisb D., Perrota N., 2008 Representing parametric probabilistic models tainted with imprecision. Fuzzy Sets and Systems.159: 1913: 1928. 7. NR Yusupbekov., RAAliyev., RR Aliyev., A.Yusupbekov. Intellectual systems of management and decision making /, - Tashkent: State scientific publisher Uzbekiston Milli Encyclopedia ", 2014.- 490 p. 8. Siddikov I.H., Izmaylova R.N., KarimovSh.S. LOGICGRAPHIC Model of Monitoring of the Technological Statuses of the Petrochemical Equipment. International Journal of Advanced Research in Science, Engineering and Technology Vol. 4, Issue 3, March 2017.