Land subsidence model based on a chaos optimization algorithm and a BP neural network

Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology

Volumn 37, Issue 3, 2008, Pages 396-401

  Li, Hong Xia ^a   Zhang, Jian Xiong ^a   Zhao, Xin Hua ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

BP neural network; Chaos optimization; Land subsidence; Water table

Indexed keywords

AQUIFERS; BACKPROPAGATION; CHAOS THEORY; CRACK PROPAGATION; GROUNDWATER; NEURAL NETWORKS;

BP NEURAL NETWORK; CHAOS OPTIMIZATION; LAND SUBSIDENCE; WATER TABLE;

SUBSIDENCE;

EID: 45449089692     PISSN: 10001964     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. WANG Jia-bing. Problems of environmental geology on the urbanization in Tianjin city[J]. Geological Survey and Research, 2004, 27(3): 164-168.
2. YIN Yue-ping, ZHANG Zuo-chen, ZHANG Kai-jun. Land subsidence and countermeasures for its prevention in China[J]. The Chinese Journal of Geological Hazard and Control, 2005, 16(2): 1-8.
3. LIU Jin-tao, WU Qiang, QIAN Zeng-jiang, et al. Calculation of long-term discharge coefficient in ground subsidence[J]. Journal of China University of Mining and Technology, 2001, 30(1): 103-106.
4. ZHANG Yun, XUE Yu-qun. Present situation and prospect on the mathematical model of land subsidence due to pumping[J]. The Chinese Journal of Geological Hazard and Control, 2002, 13(2): 1-6.
5. DONG Guo-feng, ZHANG Jian-jun, ZHAO Quan, et al. Numerical simulation of land subsidence at Tanggu District in Tianjin, China[J]. Transactions of Tianjin University, 2006, 12(6): 457-462.
6. CHAI J C, SHEN S L, ZHU H H, et al. Land subsidence due to groundwater drawdown in Shanghai[J]. Geotechnigue, 2004, 54(2): 143-147.
7. EMERY C J, FERENC S, MARY P, et al. Artificial neural network approach for predicting transient water levels in a multilayered groundwater system under variable state, pumping, and climate conditions[J]. Journal of Hydrologic Engineering, 2003, 8(6): 348-360.
8. CICHOCK A, UNHEHAUCN R. Neural networks for optimization and signal processing [M]. England: John Wtley and Sons Ltd, 1993.
9. LI Hong-xia, ZHAO Xin-hua, ZHANG Jian-jun. Analysis of Kendall test method for land subsidence[J]. China Water and Wastewater, 2007, 23(9): 67-69.
10. PAN Hao, WANG Xiao-yong, CHEN Qiong, et al. Application of BP neural network based on genetic algorithm[J]. Journal of Computer Applications, 2005, 25(12): 2777-2779.
11. TREADGOLD N K, GEDEON T D. Simulated annealing and weight decay in adaptive learning: The sarprop algorithm[J]. IEEE Trans on Neural Networks, 1998, 9(4): 662-668.
12. ZHANG Jian-xiong, TANG Wan-sheng. Chaos genetic algorithm method for a class of nonlinear bilevel mixed integer-programming problem[J]. Systems Engineering Theory·Methodology·Applications, 2005, 14(5): 429-433.
13. LI Xiang-fei, ZOU En, ZOU Li-hua. Chaos BP Hybrid learning algorithm for feedforward neural network[J]. Control and Decision, 2004, 19(4): 462-464.