| 煤层底板突水人工神经网络预测 |
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| 引用本文： | 邱秀梅,王连国.煤层底板突水人工神经网络预测[J].山东农业大学学报(自然科学版),2002,33(1):62-65,71. |
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| 作者姓名： | 邱秀梅 王连国 |
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| 作者单位： | 1. 山东农业大学,水利学院,山东,泰安,271018
2. 山东科技大学,土木建筑学院,山东,泰安,271018 |
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| 摘 要： | 本文综合考虑水源、水压、隔水层、断层等因素对煤层底板突水的影响，建立了煤层底板突水人工神经网络预测模型。实例分析表明，该模型具有较高的预测精度，预测结果比较可靠。
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| 关 键 词： | 煤层底板 突水 人工神经网络 预测精度 矿井水 |
| 文章编号： | 1000-2324(2002)01-0062-04 |
ANN FORECAST FOR WATER-INRUSH FROM COAL FLOOR |
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| QIU Xiu-mei ,WANG Lian-guo.ANN FORECAST FOR WATER-INRUSH FROM COAL FLOOR[J].Journal of Shandong Agricultural University,2002,33(1):62-65,71. |
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| Authors: | QIU Xiu-mei WANG Lian-guo |
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| Institution: | QIU Xiu-mei 1,WANG Lian-guo 2 |
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| Abstract: | This paper considers comprehensively water source,water pressure,impedance water strata,and fault ectal factors to establish a ANN forecast model for water-inrush from coal floor.The analysis of actual examples indicates the forecast precision of ANN trained is more precise in prediction,and the predicting result is reliable. |
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| Keywords: | Coal floor water-Inrush ANN forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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