Integrated intelligent methodology for Large-scale landslide prevention design

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@Article{FENG2004750,

• author = "Xia-Ting Feng and J. A. Hudson and Shaojun Li and Hongbo Zhao and Wei Gao and Youliang Zhang",
• title = "Integrated intelligent methodology for Large-scale landslide prevention design",
• journal = "International Journal of Rock Mechanics and Mining Sciences",
• year = "2004",
• volume = "41",
• number = "Supplement 1",
• pages = "750--755",
• month = may,
• note = "Proceedings of the ISRM SINOROCK 2004 Symposium",
• keywords = "genetic algorithms, genetic programming, Landslide, intelligent design, GIS, back analysis, optimum design, support vector machine, SVM",
• ISSN = "1365-1609",
• URL = "http://www.sciencedirect.com/science/article/pii/S1365160904001777",
• DOI = "doi:10.1016/j.ijrmms.2004.03.130",
• abstract = "Considering the non-linear mechanical problem affected by many factors, integration of intelligent and global optimum methods with certain mechanic al calculations is attractive for analysis and control design of landslides. An integrated intelligent methodology is proposed for optimal prevention design of large-scale landslides. With this methodology, long-term monitoring data of landslide evolution, rainfall process, excavation process, change of underground water, and geological conditions, etc. are displayed in a three-dimensional geological information system. Geomechanical parameters of rock mass/soils and trace of the landslide are recognized using a combination of genetic algorithm and genetic programming, evolutionary support vector machine, and limited equilibrium analysis. Optimal design of landslide prevention is achieved by using evolutionary neural networks-limited equilibrium analysis. As an example, the integrated intelligent design prevention is applied to the Bachimen large landslide, Fujian, China induced due to the excavation of motorway. The results are satisfactory.",
• notes = "Paper 3A 06 sinorock",

}

Genetic Programming entries for Xia-Ting Feng John A Hudson Shaojun Li Hongbo Zhao Wei Gao Youliang Zhang

Citations