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Volumn 28, Issue 17, 2008, Pages 99-104

Thermal process identification with radial basis function network based on quantum genetic algorithm

Author keywords

Quantum genetic algorithm; Radial basis function neural network; System identification; Thermal process

Indexed keywords

BOOLEAN FUNCTIONS; DYNAMIC MODELS; FEEDFORWARD NEURAL NETWORKS; FUNCTION EVALUATION; GENETIC ALGORITHMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS;

EID: 46449085211     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (17)

References (20)
  • 1
    • 24944546099 scopus 로고    scopus 로고
    • Identification method of nonlinear systems based on parallel genetic algorithm
    • Chinese source
    • Meng Zuqiang, Cai Zixing. Identification method of nonlinear systems based on parallel genetic algorithm[J]. Control and Decision, 2003, 18(3): 367-374 (in Chinese).
    • (2003) Control and Decision , vol.18 , Issue.3 , pp. 367-374
    • Meng, Z.1    Cai, Z.2
  • 2
    • 33947514200 scopus 로고    scopus 로고
    • Beam forming based on RBF networks of genetic algorithms
    • Chinese source
    • Wang Erfu, Meng Weixiao, Shi Jing. Beam forming based on RBF networks of genetic algorithms[J]. Journal of Harbin institute of technology, 2007, 39(1): 89-92 (in Chinese).
    • (2007) Journal of Harbin Institute of Technology , vol.39 , Issue.1 , pp. 89-92
    • Wang, E.1    Meng, W.2    Shi, J.3
  • 3
    • 22344442866 scopus 로고    scopus 로고
    • Model building of growing process of tomato based on RBF neural network and genetic algorithm
    • Chinese source
    • Zhang Juan, Chen Jie, Wang Shanshan. Model building of growing process of tomato based on RBF neural network and genetic algorithm[J]. Control and Decision, 2005, 20(6): 682-685 (in Chinese).
    • (2005) Control and Decision , vol.20 , Issue.6 , pp. 682-685
    • Zhang, J.1    Chen, J.2    Wang, S.3
  • 5
    • 33745667050 scopus 로고    scopus 로고
    • A novel online training algorithm based on immune principles for rbf neural network and its application in the thermal process wide range modeling
    • Chinese source
    • Lin Jinxing, Shen Jiong, Li Yiguo. A novel online training algorithm based on immune principles for rbf neural network and its application in the thermal process wide range modeling[J]. Proceedings of the CSEE, 2006, 26(9): 14-19 (in Chinese).
    • (2006) Proceedings of the CSEE , vol.26 , Issue.9 , pp. 14-19
    • Lin, J.1    Shen, J.2    Li, Y.3
  • 6
    • 4344665898 scopus 로고    scopus 로고
    • Identification and model reference adaptive control for ultrasonic motor based on RBF neural network
    • Chinese source
    • Xia Changliang, Qi Wenya, Yang Rong, et al. Identification and model reference adaptive control for ultrasonic motor based on RBF neural network[J]. Proceedings of the CSEE, 2004, 24(7): 117-122 (in Chinese).
    • (2004) Proceedings of the CSEE , vol.24 , Issue.7 , pp. 117-122
    • Xia, C.1    Qi, W.2    Yang, R.3
  • 7
    • 2342429705 scopus 로고    scopus 로고
    • A study on RBF neural network based on line algorithm models adaptive to thermal processes
    • Chinese source
    • Yang Ge, Lu Jianhong, Liu Zhiyuan. A study on RBF neural network based on line algorithm models adaptive to thermal processes[J]. Proceedings of the CSEE, 2004, 24(1): 191-195 (in Chinese).
    • (2004) Proceedings of the CSEE , vol.24 , Issue.1 , pp. 191-195
    • Yang, G.1    Lu, J.2    Liu, Z.3
  • 8
    • 33645643051 scopus 로고    scopus 로고
    • Study on soft-sensing model of the gas flow rate measurement based upon RBF neural network
    • Chinese source
    • Tong Weiguo, Yang Yaoquan, Jin Xiuzhang. Study on soft-sensing model of the gas flow rate measurement based upon RBF neural network[J]. Proceedings of the CSEE, 2006, 26(1): 66-69 (in Chinese).
    • (2006) Proceedings of the CSEE , vol.26 , Issue.1 , pp. 66-69
    • Tong, W.1    Yang, Y.2    Jin, X.3
  • 9
    • 24344440802 scopus 로고    scopus 로고
    • Single neuron PID control for switched reluctance motors based on RBF neural network
    • Chinese source
    • Xia Changliang, Wang Mingchao. Single neuron PID control for switched reluctance motors based on RBF neural network[J]. Proceedings of the CSEE, 2005, 25(8): 161-165 (in Chinese).
    • (2005) Proceedings of the CSEE , vol.25 , Issue.8 , pp. 161-165
    • Xia, C.1    Wang, M.2
  • 10
    • 25844433791 scopus 로고    scopus 로고
    • A short-term load forecasting approach based on immune clustering RBF network model
    • Chinese source
    • Wu Hongxiao, Hou Zhijian, Liu Yong, et al. A short-term load forecasting approach based on immune clustering RBF network model[J]. Proceedings of the CSEE, 2005, 25(16): 53-56 (in Chinese).
    • (2005) Proceedings of the CSEE , vol.25 , Issue.16 , pp. 53-56
    • Wu, H.1    Hou, Z.2    Liu, Y.3
  • 11
    • 23744449353 scopus 로고    scopus 로고
    • Study on simulation of nonlinear system identification based on PSO-RBF NN
    • Chinese source
    • Ding Hongkai, Xiao Yunshi, Li Bingyu, et al. Study on simulation of nonlinear system identification based on PSO-RBF NN[J]. Journal of System Simulation, 2005, 17(8): 1826-1829 (in Chinese).
    • (2005) Journal of System Simulation , vol.17 , Issue.8 , pp. 1826-1829
    • Ding, H.1    Xiao, Y.2    Li, B.3
  • 12
    • 0029151129 scopus 로고
    • Efficient identification of RBF neural net models for nonlinear discrete-time multivariable dynamical systems
    • Tan Shaohua, Hao Jianbin, Vandewalle J. Efficient identification of RBF neural net models for nonlinear discrete-time multivariable dynamical systems[J]. Neurocomputing, 1995, 9(1): 11-26.
    • (1995) Neurocomputing , vol.9 , Issue.1 , pp. 11-26
    • Tan, S.1    Hao, J.2    Vandewalle, J.3
  • 13
    • 0000106040 scopus 로고
    • Universal approximation using radial-basis-function networks
    • Park J, Sandberg I W. Universal approximation using radial-basis-function networks[J]. Neural Comput, 1991, 3(2): 246-257.
    • (1991) Neural Comput , vol.3 , Issue.2 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 15
    • 0032653136 scopus 로고    scopus 로고
    • Quantum computing: An introduction
    • Hey T. Quantum computing: an introduction[J]. Computing and Control Engineering Journal, 1996, 10(3): 105-112.
    • (1996) Computing and Control Engineering Journal , vol.10 , Issue.3 , pp. 105-112
    • Hey, T.1
  • 16
    • 15744383809 scopus 로고    scopus 로고
    • Improvement of quantum gentic algorithm and its application
    • Chinese source
    • Zhang Gexiang, Jin Weidong. Improvement of quantum gentic algorithm and its application[J]. Journal of Southwest Jiaotong University, 2003, 38(6): 717-722 (in Chinese).
    • (2003) Journal of Southwest Jiaotong University , vol.38 , Issue.6 , pp. 717-722
    • Zhang, G.1    Jin, W.2
  • 17
    • 4544310954 scopus 로고    scopus 로고
    • The quantum evolutionary strategies
    • Chinese source
    • Yang Shuyuan, Liu Fang, Jiao Licheng. The quantum evolutionary strategies[J]. Acta Electronica Sinica, 2001, 39(12A): 1873-1877 (in Chinese).
    • (2001) Acta Electronica Sinica , vol.39 , Issue.12 A , pp. 1873-1877
    • Yang, S.1    Liu, F.2    Jiao, L.3
  • 18
    • 4544352085 scopus 로고    scopus 로고
    • Multi-universe parallel quantum genetic algorithm
    • Chinese source
    • Yang Junan, Zhuang Zhenquan, Shi Liang. Multi-universe parallel quantum genetic algorithm[J]. Acta Electronica Sinica, 2004, 32(6): 923-928 (in Chinese).
    • (2004) Acta Electronica Sinica , vol.32 , Issue.6 , pp. 923-928
    • Yang, J.1    Zhuang, Z.2    Shi, L.3
  • 19
  • 20
    • 34248150282 scopus 로고    scopus 로고
    • Fuzzy quantum genetic algorithm and its application research in thermal process identification
    • Chinese source
    • Jiao Songming, Han Pu, Huang Yu, et al. Fuzzy quantum genetic algorithm and its application research in thermal process identification[J]. Proceedings of the CSEE, 2007, 27(5): 87-92 (in Chinese).
    • (2007) Proceedings of the CSEE , vol.27 , Issue.5 , pp. 87-92
    • Jiao, S.1    Han, P.2    Huang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.