Title :
Qualitative interpretation of process trends by using neural networks
Author :
Yamashita, Yoshiyuki
Author_Institution :
Lab. for Process Syst. Eng., Tohoku Univ., Sendai, Japan
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;
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
DOI :
10.1109/KES.1998.725944
