Membership function of process parameters formation based on fuzzy clustering оf production data
About authors
- 1 — Ph.D. assistant lecturer National Mineral Resources University (Mining University)
- 2 — Ph.D. «SZMA Company»
Abstract
Proposed a membership functions of process parameters forming method based on fuzzy clustering of production data. shows advantages of its use.
Область исследования:
(Archived) Without section
Funding:
None
References
- Vlasov K.P. Research methods and organization of experiments. Charkow, 2002.
- Kadyrov E.D., Danilova N.V. Evaluation of process parameters autogenous processes // Automation industry. N 5. 2008.
- Lucas V.A. Fundamentals of fuzzy-control. Yekaterinburg, 2000.
- Oreshkin S.A., Panchenko V.N. Intelligent multimodel AMS Vanyukov furnace based system of G2 GENSYM. Sat of the IV International Conference «Innovative technologies in the automation and control of mining and processing enterprises». Saint Peterburg, 2009.
- Spesivtsev A.V. Metallurgical process as the object of study: new concepts, system, and practice. Saint Petersburg, 2004.
- Shtovba S.D. Design of fuzzy systems by means of MATLAB. Moscow, 2007.