窦林名, 何学秋. 冲击地压防治理论与技术[M]. 徐州: 中国矿业大学 出版社, 2001. Dou Linming, He Xueqiu. Theory and technology of rock burst prevention[M]. Xuzhou: China University of Mining and Technology Press, 2001.
[2]
姚精明, 何富连, 徐军, 等. 冲击地压的能量机理及其应用[J]. 中南大 学学报: 自然科学版, 2009, 40(3): 808-813. Yao Jingming, He Fulian, Xu Jun, et al. Energy mechanism of rock burst and its application[J]. Journal of Central South University: Natural Science Edition, 2009, 40(3): 808-813.
[3]
段宏飞, 姜振泉, 朱术云, 等. 大埋深高地压弱结构面顶板岩层诱发冲 击地压离心模型试验[J]. 中南大学学报: 自然科学版, 2011, 42(9): 2774-2782. Duan Hongfei, Jiang Zhenquan, Zhu Shuyun, et al. Centrifuge model tests on rock brusting induced by great depth highly stressed roof strata of weak structural plane[J]. Journal of Central South University: Natural Science Edition, 2011, 42(9): 2774-2782.
[4]
国家煤矿安全监察局."十一五"期间(2006—2010年)全国煤矿事故 分析报告[R]. 北京: 国家煤矿安全监察局, 2011. China Administration of Coal Mine Safety. Report of the national coal mine accidents in"Eleven Five" period (2006—2010) [R]. Beijing: China Administration of Coal Mine Safety, 2011.
[5]
Zhou J, Li X B, Shi X Z. Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines[J]. Safety Science, 2012, 50(4): 629-644.
[6]
李文, 纪洪广, 武玉梁. 深井冲击地压发生机理分析及预测方法研究[J]. 中国矿业, 2007, 16(7): 105-107． Li Wen, Ji Hongguan, Wu Yulian. Mechanism analyses and forecast on deep mining rock burst[J]. China Mining Magazine, 2007, 16(7): 105- 107.
[7]
陈国祥, 窦林名, 曹安业, 等. 电磁辐射法评定冲击矿压危险等级及应 用[J]. 煤炭学报, 2008, 33(8): 866-870. Chen Guoxiang, Dou Linming, Cao Anye, et al. Assessment of rock burst danger and application on electromagnetic emission method[J]. Journal of China Coal Society, 2008, 33(8): 866-870.
[8]
李洪, 戴仁竹, 蒋金泉. 基于最大Lyapunov 指数的冲击地压预测模型[J]. 采矿与安全工程学报, 2006, 23(2): 215-219. Li Hong, Dai Renzhu, Jiang Jinquan. Predicting model of rock burst based on Lyapunov index[J]. Journal of Mining & Safety Engineering, 2006, 23(2): 215-219.
[9]
赵洪波, 茹忠亮. 冲击地压预测的PSO-SVM模型[J]. 岩石力学与工程 学报, 2007, 26(增1): 3479-3483. Zhao Hongbo, Ru Zhongliang. PSO-SVM model for prediction of rock burst[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26 (Suppl 1): 3479-3483.
[10]
尹光志, 谭钦文, 魏作安. 基于混沌优化神经网络的冲击地压预测模 型[J]. 煤炭学报, 2008, 33(8): 871-875. Yin Guangzhi, Tan Qinwen, Wei Zuoan. Combined optimization model of rock-burst prediction based on chaos optimization and BP neural networks[J]. Journal of China Coal Society, 2008, 33(8): 871-875.
[11]
闫河. 基于遗传算法和人工神经网络相结合的冲击地压预测的研究[D]. 重庆: 重庆大学, 2002. Yan He. The research of rockburst prediction basing on genetic algorithm and bp artificial neural network[D]. Chongqing: Chongqing University, 2002.
[12]
周健, 史秀志. 冲击地压危险性等级预测的Fisher判别分析方法[J]. 煤炭学报, 2010, 35(增1): 22-27. Zhou Jian, Shi Xiuzhi. Fisher discriminant analysis method for prediction of classification of rock burst risk[J]. Journal of China Coal Society, 2010, 35(Suppl 1): 22-27.
[13]
金佩剑, 王恩元, 刘晓斐. 冲击地压危险性综合评价的突变级数法研 究[J]. 采矿与安全工程学报, 2013, 30(2): 256-261. Jin Peijian, Wang Enyuan, Liu Xiaofei. Catastrophe progression method on comprehensive evaluation of rock burst[J]. Journal of Mining & Safety Engineering, 2013, 30(2): 256-261.
[14]
Breiman L. Random forests[J]. Machine Learning, 2001, 45(1): 5-32.
[15]
方匡南, 吴见彬, 朱建平, 等. 随机森林方法研究综述[J]. 统计与信 息论坛, 2011, 26(3): 32-38. Fang Kuangnan, Wu Jianbin, Zhu Jianping, et al. A review of technologies on random forests[J]. Statistics & Information Forum, 2011, 26(3): 32-38.
[16]
Liaw A, Wiener M. Classification and regression by random forest[J]. R News, 2002, 2(3): 118-122.
[17]
秦锋, 杨波, 程泽凯. 分类器性能评价标准研究[J]. 计算机技术与发 展, 2006, 16(10): 85-88. Qin Feng, Yang Bo, Chen Zekai. Research on measure criteria in evaluating classification performance[J]. Computer Technology and Development, 2006, 16(10): 85-88.
