Abstract
The performance of neural networks on control of a heating plant is investigated in this paper. Back-propagation algorithm is used to train the network and the effect of training parameters to network performance is also studied. The proposed control method is implemented for real-time control on a laboratory scale heater (PT326).
Original language | English |
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Pages (from-to) | 47-50 |
Number of pages | 4 |
Journal | HKIE Transactions Hong Kong Institution of Engineers |
Volume | 3 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 1996 |
Keywords
- Artificial neural networks
- Back-propagation algorithm
- Real-time control
ASJC Scopus subject areas
- General Engineering