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|Title:||Artificial-neural-network-based fast valving control in a power-generation system||Authors:||Han, Y.
|Keywords:||Artificial neural networks
Pilot-scale power systems set-ups
|Issue Date:||Apr-1997||Citation:||Han, Y.,Wang, Z.,Chen, Q.,Tan, S. (1997-04). Artificial-neural-network-based fast valving control in a power-generation system. Engineering Applications of Artificial Intelligence 10 (2) : 139-155. ScholarBank@NUS Repository.||Abstract:||This paper presents an artificial-neural-network-based controller to realize fast valving in a power-generation plant. A backpropagation algorithm is used to train the feedforward neural-network controller. The hardware implementation and the test results of the controller on a physical pilot-scale power system set-up are described in detail. Compared with some conventional fast valving methods applied to the same system, test results (both in a computer simulation and on a physical pilot-scale power system set-up) show that the neural-network controller has quite satisfactory generalisation capability, feasibility and reliability, as well as accuracy. © 1997 Elsevier Science Ltd. All rights reserved.||Source Title:||Engineering Applications of Artificial Intelligence||URI:||http://scholarbank.nus.edu.sg/handle/10635/61865||ISSN:||09521976|
|Appears in Collections:||Staff Publications|
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