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

被引：0

作者：

Li, YZ ^{[1
]}

Qian, F ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Inst Automat, Shanghai 200237, Peoples R China

来源：

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年

关键词：

GDMH; NF-GMDH; partial description; soft-sensor;

D O I：

10.1109/WCICA.2002.1021539

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper,. a new 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 with fuzzy models in the first layer and by N-Adline network in other layers. This method exert the merits of them. The results of function approxiation 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.

引用

页码：2478 / 2482

页数：5