Process fault detection and diagnosis using a dynamic neural networks model
Recently, neural networks has generated considerable interest as an alternative non-linear modelling tool. The major attraction is the learning capabilities of neural networks, and the fact that multi-layer, feed forward networks can approximate any non-linear function with arbitrary accuracy. This...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2002
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/33839/1/33839.pdf |