Forecasting of destroyed height of overlying rock with the top coal caving based on ANN

Author:

Chen Pei-pei

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology

Reference5 articles.

1. 煤炭科学研究院北京开采所. 煤矿地表移动与覆岩破坏规律及其应用[M]. 北京: 煤炭工业出版社, 1981. Beijing Mining Institute, China Coal Research Institute. Rule and application of surface movement and overlying rock destroy in coal mine[M]. Beijing: China Coal Industry Publishing House, 1981.

2. 康 永华. 采煤方法变革对导水裂缝带发育规律的影响[J]. 煤炭学报, 1998, 23(3): 262–266. Kang Yonghua. Influence of coal mining mothed’s change to rule of water flowing fractured zone[J]. Journal of China Coal Society, 1998, 23(3): 262–266.

3. 焦 李成. 神经网络系统理论[M]. 西安: 西安电子科技大学出版社, 1990. Jiao Licheng, Theory of neural network system[M]. Xi’an: Xidian University Press, 1990.

4. 张 玉军, 康 永华. 覆岩破坏规律探测技术现状与发展[J]. 煤矿开采, 2005, 10(2): 10–12. Zhang Yujun, Kang Yonghua. The summarize and estimation of the development on the exploration of overburden failure law[J]. Journal of Coal Minging Technology, 2005, 10(2): 10–12.

5. 陈 佩佩, 刘 鸿泉, 朱 在兴, 等. 基于人工神经网络技术的导水断裂带高度预计[J]. 煤炭学报, 2005, 30(4): 438–442. Chen Peipei, Lui Hongquan, Zhu Zaixing, et al. Height forecast of water conducted zone with top coal caving based on artificial neural network[J]. Journal of China Coal Society, 2005, 30(4): 438–442.

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