Multidimensional Minimization Training Algorithms for Steam Boiler Drum Level Trip Using Artificial Intelligence Monitoring System
This paper deals with the Fault Detection and Diagnosis of steam boiler drum low level by artificial Neural Networks using two different interpretation algorithms. The BFGS quasi-Newton (TRAINBFG) and Levenberg-Marquart (TRAINLV) have been adopted as training algorithms of the neural network model....
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
IEEE Catalog Number CFP1066c-CDR
2010
|
| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/4215/1/cookiedetectresponse.jsp http://ieeexplore.ieee.org/xpls http://eprints.utp.edu.my/4215/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|