Referenced Items are not available for this document.
Generally, the training of artificial neural networks (ANNs) involved in a control system can be performed online depending on whether they execute useful work or not while learning is taking place. The aim of this paper is to apply a novel ANN self-tuning controller based on the generalized minimum variance controller and multiplayer neural network architecture to process control by online training the neural emulator and controller. Finally, we introduce the application of the controller to a boiler-burning system
Published in:
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Date of Conference: 5-9 Dec 1994
- Page(s):
- 102 - 105
- Meeting Date :
- 05 Dec 1994-09 Dec 1994
- Print ISBN:
- 0-7803-1978-8
- INSPEC Accession Number:
- 5038505
- Conference Location :
- Guangzhou
- Digital Object Identifier :
- 10.1109/ICIT.1994.467188
- Product Type:
- Conference Publications
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