Expert neural network with fuzzy coding for process control

Author

Lee, Minho ; Byun, Hoon-Suk ; Park, Cheol Hoon ; Lee, Soo-Young ; Lee, Joodong ; Ham, Byunghwa ; Cho, Hyungseok ; Ro, Heebaek

Author_Institution

Dept. of Electr. Eng., Korea Maritime Univ., Pusan, South Korea

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

98

Abstract

This paper introduces a new intelligent method using neural networks and fuzzy logic to control a hot coil strip process having a look-up table. An expert neural network with a gating network made by multilayer neural networks is used for model a rule based look-up table that has a quantization error caused by an offset of the input variables. Also, a new fuzzy coding scheme is introduced to scale an input variable that has the non-stationary characteristics. The table modeling performance of the proposed methods is verified by the actual data obtained from a hot coil strip process of Pohang steel company in Korea

Keywords

fuzzy control; fuzzy logic; fuzzy neural nets; process control; Pohang steel company; expert neural network; fuzzy coding; fuzzy coding scheme; gating network; hot coil strip process; intelligent method; look-up table; multilayer neural networks; process control; quantization error; Coils; Fuzzy control; Fuzzy neural networks; Input variables; Intelligent networks; Multi-layer neural network; Neural networks; Process control; Strips; Table lookup;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672746

Filename

672746