DocumentCode :
2421264
Title :
A new intelligent system based on hybrid neural networks for process monitoring
Author :
Tang, Tianhao ; Dou, Jinsheng ; Hu, Yihuai
Author_Institution :
Dept. of Electr. Eng. & Autom., Shanghai Maritime Univ., China
fYear :
2003
fDate :
8-8 Oct. 2003
Firstpage :
941
Lastpage :
946
Abstract :
This paper presents a new data mining and knowledge discovery methodology based on hybrid neural networks. In the integrated intelligent system, a diagonal recurrent neural network model is proposed to predict data trend and a fuzzy neural network model is used for knowledge discovery. And also a principle component analysis method using correlative analysis is selected to reduce the data volumes.
Keywords :
data mining; fuzzy neural nets; principal component analysis; process monitoring; recurrent neural nets; correlative analysis; data mining; diagonal recurrent neural network; fuzzy neural network; hybrid neural networks; integrated intelligent system; knowledge discovery methodology; principle component analysis method; process monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control. 2003 IEEE International Symposium on
Conference_Location :
Houston, TX, USA
ISSN :
2158-9860
Print_ISBN :
0-7803-7891-1
Type :
conf
DOI :
10.1109/ISIC.2003.1254763
Filename :
1254763
Link To Document :
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