DocumentCode
467719
Title
Elamn Network using Simulated Annealing Algorithm and its Application in Thermal Processes Modeling
Author
Zhang, Luan-Ying ; Gu, Jun-jie ; Qin, Zhi-ming
Author_Institution
North China Electr. Power Univ., Baoding
Volume
2
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
929
Lastpage
933
Abstract
This paper obtained the connection values of both feedforward and feedback connections of improved Elman networks through simulated annealing algorithm, which can avoid the network trapped into local minimum. The connection values of the feedback don´t need modified manually. The paper established the nonlinear model of thermal processes with the Elman networks. And then the simulation study proved that the Elman network model using simulated annealing algorithm does not need complicated architecture, which make a good match for the thermal processes plant and has good generalization ability.
Keywords
feedback; feedforward; heat systems; process control; simulated annealing; Elman network; feedback connections; feedforward connections; simulated annealing algorithm; thermal processes modeling; Control systems; Cybernetics; Dynamic programming; Machine learning; Machine learning algorithms; Mathematical model; Neural networks; Propagation delay; Recurrent neural networks; Simulated annealing; Elman network; Modeling; Simulated annealing algorithm; Thermal processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370275
Filename
4370275
Link To Document