DocumentCode
2235044
Title
Qualitative interpretation of process trends by using neural networks
Author
Yamashita, Yoshiyuki
Author_Institution
Lab. for Process Syst. Eng., Tohoku Univ., Sendai, Japan
Volume
3
fYear
1998
fDate
21-23 Apr 1998
Firstpage
2
Abstract
Qualitative interpretation is a process to convert numerical output of sensors into symbolic representation. This process is one of the most critical path to connect intelligent systems with real world. In this paper, qualitative interpretation is realized as pattern-based classification of time-series signal by using ART2 neural networks. As an example, automatic classification of flow patterns in a pneumatic conveyor is successfully demonstrated
Keywords
ART neural nets; conveyors; pattern classification; symbol manipulation; ART2 neural networks; flow patterns; intelligent systems; pattern classification; pneumatic conveyor; qualitative interpretation; symbolic representation; time-series signal; Databases; Intelligent sensors; Intelligent systems; Knowledge based systems; Laboratories; Neural networks; Production; Prototypes; Sensor systems; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-4316-6
Type
conf
DOI
10.1109/KES.1998.725944
Filename
725944
Link To Document