| 基于神经网络的冲击地压危险性预测预报 |
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| 引用本文： | 曾勇,吴财芳.基于神经网络的冲击地压危险性预测预报[J].辽宁工程技术大学学报(自然科学版),2003,22(5):624-627. |
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| 作者姓名： | 曾勇 吴财芳 |
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| 作者单位： | 中国矿业大学,资源与地球科学学院,江苏,徐州,221008 |
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| 摘 要： | 文章分析了影响冲击地压危险性的主要因素，首次利用神经网络模型模拟各个因素之间的复杂的非线性关系，消除了传统预测方法中的人为确定冲击危险指标的影响。检验结果表明：模型可靠，预测精度高。为冲击地压与人工智能等高新技术的进一步结合奠定了基础，进一步拓宽了神经网络技术的研究领域。
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| 关 键 词： | 冲击地压 危险性预测 神经网络模型 预测方法 冲击危险指标 人工智能 |
| 文章编号： | 1008-0562(2003)05-0624-04 |
| 修稿时间： | 2002年8月26日 |
Neural networks and the research of forecasting and predicting rock burst |
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| ZENG Yong,WU Cai-fang.Neural networks and the research of forecasting and predicting rock burst[J].Journal of Liaoning Technical University (Natural Science Edition),2003,22(5):624-627. |
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| Authors: | ZENG Yong WU Cai-fang |
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| Abstract: | The main influencing factors of rock burst are analyzed, the involved non-lined relationship is simulated with neural network model in the first, which eliminates the influence of choosing the risking indexes artificially with traditional methods. The testing results show that the model is reliable and precise, which forms the combinative basis of rock burst and the artificial intelligence of advanced technologies. |
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| Keywords: | rock burst neural networks forecast and predict |
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