The study of application of FCMAC neural network in the industrial process on-line identification and optimization

Author

Li, Lina ; HOU, Chaozhen

Author_Institution

Dept. of Autom. Control, Beijing Inst. of Technol., China

Volume

4

fYear

2002

fDate

18-22 Nov. 2002

Firstpage

1734

Abstract

In this paper, a kind of online identification and optimization method based on FCMAC (fuzzy cerebellar model arithmetic controller) neural network is proposed. This method is composed of learning procedure and optimization procedure. For some practical applications without process models, only observation of sensor information is needed. The simulation results prove the effectivity and superiority of this method, thereby offering a new frame for implementing optimal schemes in practical applications.

Keywords

cerebellar model arithmetic computers; fuzzy neural nets; identification; learning (artificial intelligence); online operation; optimisation; FCMAC neural network; fuzzy CMAC neural network; industrial process online identification; industrial process online optimization; learning procedure; optimization procedure; Arithmetic; Chaos; Electronic mail; Fuzzy logic; Fuzzy neural networks; Industrial control; Input variables; Intelligent networks; Neural networks; Optimization methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on

Print_ISBN

981-04-7524-1

Type

conf

DOI

10.1109/ICONIP.2002.1198972

Filename

1198972