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 :
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