Neurofuzzy GMDH network and its application to the soft-sensor for ethene distillation process

Author

Li, Yuzhong ; Qian, Feng

Author_Institution

Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai, China

Volume

3

fYear

2002

fDate

2002

Firstpage

2478

Abstract

A neurofuzzy GMDH network for system modelling and prediction is developed. This network introduces the structure of GMDH network into its structure and its partial descriptions are represented by the radial functions network which is equivalent to fuzzy models in the first layer and by an N-Adeline network in other layers. The results of function approximation shows that the NF-GMDH network outperforms the conventional GMDH network. The final example shows that NF-GMDH can be used in soft-sensing modelling of the ethene rectification process.

Keywords

distillation; forecasting theory; function approximation; fuzzy neural nets; identification; radial basis function networks; N-Adeline network; ethene distillation process; ethene rectification process; function approximation; fuzzy models; group method of data handling; neurofuzzy GMDH network; partial descriptions; radial functions network; soft-sensor; system modelling; system prediction; Automation; Electronic mail; Intelligent control; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1021539

Filename

1021539