Wavelet neural network based on adaptive particle swarm optimization and its application to displacement back analysis

Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering

Volumn 26, Issue 6, 2007, Pages 1251-1257

  Liang, Guilan ^a   Xu, Weiya ^a   Wei, Jie ^a   Zhang, Mingming ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

Displacement back analysis; Elastic modulus; Particle swarm optimization; Rock mechanics; Three Gorges Project; Wavelet neural network

Indexed keywords

ELASTIC MODULI; FAULT TOLERANCE; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; NEURAL NETWORKS; ROCK MECHANICS; SLOPE PROTECTION; SLOPE STABILITY; WAVELET TRANSFORMS;

ARTIFICIAL NEURAL NETWORK (ANN); DISPLACEMENT BACK ANALYSIS; FREQUENCY DOMAIN; FUZZINESS; NONLINEARITY; PARTICLE SWARM OPTIMIZATION (PSO); THREE GORGES PROJECT; TIME DOMAIN; WAVELET NEURAL NETWORK (WNN);

GEOTECHNICAL ENGINEERING;

EID: 34447132165     PISSN: 10006915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. FENG Xiating. Introduction to intelligent rock mechanics[M]. Beijing: Science Press, 2000: 10-110. (in Chinese)
2. CHEN Bingrui, FENG Xiating, DING Xiuli, et al. Back analysis of rheological parameters based on pattern-genetic-neural network[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(4): 553-558. (in Chinese)
3. GAO Wei, FENG Xiating. Study on a new back analysis algorithm in geotechnical engineering based on immunized continuous ant colony algorithm[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(23): 4266-4271. (in Chinese)
4. LIU Hongbo, ZHANG Hongwei, YAN Xiaoqiang. Wavelet neutral network forecasting method for water consumption in municipal supply water networks[J]. Journal of Tianjin University, 2005, 38(7): 636-639. (in Chinese)
5. HUANG Min, WANG Jianhui, GU Shusheng. Study on cold mill rolling force prediction based on wavelet neural network with genetic algorithm[J]. Control and Decision, 2004, 19(10): 1129-1132. (in Chinese)
6. ZHOU Chi, GAO Haibing, GAO Liang, et al. Particle swarm optimization (PSO) algorithm[J]. Study on Application for Computer, 2003, 20(12): 7-11. (in Chinese)
7. SHI Y H, EBERHART R C. Parameter selection in particle swarm optimization[M].[S.l.]:[s.n.] 1998.
8. EBERHART R C, KENNEDY J. A new optimizer using particle swarm theory[C]//Proceedings of Sixth International Symposium on Micro Machine and Human Science. Nagoya, Japan:[s.n.], 1995: 66-73.
9. XIA Xiaohua, LIU Bo, LUAN Zhiye, et al. APSO-based nonlinear predicted control and its application to the PH neutralization reactor control[J]. Control and Instruments in Chemical Industry, 2006, 33(1): 24-27. (in Chinese)
10. LIANG Guilan, XU Weiya, ZHANG Yangang, et al. Study and application of PSO-RBFNN model to nonlinear time series forecasting for geotechnical engineering[J]. Rock and Soil Mechanics (to be published)(in Chinese)
11. SHI Anchi, XU Weiya, ZHOU Jiawen, et al. Simulated annealing-based BP neural network optimization method for back analysis of modulus of elasticity for slope rock mass[J]. Journal of Hohai University, 2006, 34(1): 69-73. (in Chinese)