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).
|Number of pages||4|
|Journal||HKIE Transactions Hong Kong Institution of Engineers|
|Publication status||Published - 1 Jan 1996|
- Artificial neural networks
- Back-propagation algorithm
- Real-time control
ASJC Scopus subject areas