[1]
Li Zhongkui, Lu Darong, Zhong Shanyuan, etal. Development and application of new technology for 3D geo-mechanics model test of large underground houses[J]. Chinese Journal of Rock Mechanics and Engineering, 2003,22(9): 1430-1436.
Google Scholar
[2]
Cheng Shengguo, Luo Xianqi, Fang Kunhe. The test and design theory of the similar materials of soil-type landslide and the study on its assessment method[J]. Water Power, 2002, (4): 21–22.
Google Scholar
[3]
Luo Xianqi, Liu Defu, etal. Model test study on landslide under rainfall and reservoir water fluctuation. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(14): 2476-2483.
Google Scholar
[4]
Zhang Hao-Ran, Han Zheng-Zhi, Li Chang-Gang. Support vector machine based unknown systems identification and control[J]. Journal of Shanghai Jiao Tong University, 2003, 37(1): 927-930.
Google Scholar
[5]
Alexei Pozdnoukhov, Mikhail Kanevski. Multi-scale support vector algorithms for hot spot detection and modelling[J], (2008).
DOI: 10.1007/s00477-007-0162-x
Google Scholar
[6]
Si Wu, Shun-Ichi Amari. Conformal Transformation of Kernel Functions: A Data-Dependent Way to Improve Support Vector Machine Classifiers[J], (2002).
Google Scholar
[7]
Lu Min, Zhang Zhanyu. Application of Support Vector Machine in Runoff Forecast[J], China Rural Water and Hydropower, 2006, (2): 47-49.
Google Scholar
[8]
Zhuo Sushuang, Su Guoshao, Yuan Qincheng. Long-term Forecast Method for Runoff Based on SVM[J]. Enterprise Science and Technology & Development, 2009, (18): 88-92.
Google Scholar
[9]
Qu Zhongyi, Chen Yaxin, Shi Haibin, etal. Structure and algorithm of BP Network for underground hydrology forecasting[J]. Journal of hydraulic, 2004, 35(2): 88-93.
Google Scholar
[10]
Liu Guodong, Ding Jing. Discussion on problems of BP neural networks applied to hydrological prediction[J]. Journal of hydraulic, 1999, 30(1): 65-70.
Google Scholar
[11]
Feng Guozhang. An analysis of effects of artificial neural network structures on precision of stream folw forecasting[J]. Journal of natural resources, 1998, 13(2): 169-174.
Google Scholar
[12]
Xing Zhenxiang. Application of modified genetic algorithm and back propagation artificial neural to water resource projects[D]. Northeast Agricultural University. (2004).
Google Scholar
[13]
Vapnik V N. The nature of statistical learning theory[M]. New York: Springer, (1995).
Google Scholar
[14]
Wang Yuhong, Huang Dexian, Gao Dongjie, Jin Yihui. Nonlinear Predictive Control Based on Support Vector Machine[J]. Information and Control, 2004, 33(2): 133-137.
Google Scholar