Elman network using simulated annealing algorithm and its application in thermal processes modelling

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 25, Issue 11, 2005, Pages 90-94

  Zhang, Luan Ying ^a   Li, Rui Xin ^b   Qin, Zhi Ming ^a   Gu, Jun Jie ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b Tianjin Dagang Power Plant   (China)

Author keywords

Elman network; Modeling; Simulated annealing algorithm; Thermal processes

Indexed keywords

FEEDBACK; NONLINEAR SYSTEMS; SIMULATED ANNEALING; THERMOELECTRIC POWER PLANTS;

ELMAN NETWORK; MODELING; SIMULATED ANNEALING ALGORITHM; THERMAL PROCESSES;

THERMODYNAMICS;

EID: 21844456881     PISSN: 02588013     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (15)

1. Liu Zhiyuan, Lu Jianhong, Chen Laijiu. A novel RBF neural network and its application in thermal processes modeling[J]. Proceedings of the CSEE, 2002, 22(9): 118-112.
2. Wang Guangjun, He Zuwei, Chen Hong. Boiler evaporation system simulation based on neural network and process mechanism characteristic[J]. Proceedings of the CSEE, 2001, 21(11): 65-68.
3. Liu Zhiyuan, Lu Jianhong, Chen Laijiu. Super-heated steam temperature adaptive control system based on neural network online learning[J]. Proceedings of the CSEE, 2004, 24(4): 179-183.
4. Chen Lijia, San Ye, Wang Zicai et al. A physical law and neural network integrated modeling method for boiler superheater systems[J]. Proceedings of the CSEE, 2001, 21(1): 73-76.
5. Ljung. L. Issue in system identification[J]. IEEE Control Systems Magazine, 1991, 11(1): 25-29.
6. Cheng Y C, Qi W M, Cai W Y. Dynamic properties of Elman and modified Elman neural network[C]. Beijing: 2002 International Conference on Machine Learning and Cybernetics, 2002.
7. Li Xiang, Chen Guanrong, Chen Zengqian et al. Chaotifying linear Elman networks[J]. IEEE Transactions on Neural Networks 2002, 13(5): 1193-1199.
8. Pham D T, Liu X. Training of Elman networks and dynamic system modeling[J]. International Journal of System Science, 1996, 27(2): 221-226.
9. Gao X Z, Gao X M, Ovaska S J. A modified Elman neural network model with application to dynamical systems identification[C]. Beijing: IEEE International Conference on SMC, 1996.
10. Gao X Z. Gao X M. Ovaska S J. Trajectory control based on a modified Elman neural network[C]. Orlando Florida, USA: IEEE International Conference on SMC, 1997.
11. Pearlmutter B A. Gradient calculations for dynamic recurrent neural networks: a survey[J]. IEEE Transactions on Neural Networks, 1995, 6(5): 1212-1228.
12. Tian Qichuan, Pan Quan, Wang Feng et al. Research on learning algorithm of BP neural network on the Metropolis criterion[J]. Automatic technologies and applications, 2003, 22(5): 15-17.
13. Wang Guoyu, Mei Hua, Han Pu et al. Fuzzy adaptive predictive functional control in main steam temperature system[J]. Proceedings of the CSEE, 2003, 23(10): 230-235.