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神经网络在冲击地压危险性预测预报研究中的应用
引用本文:吴财芳,曾勇.神经网络在冲击地压危险性预测预报研究中的应用[J].力学学报,2003,11(3):263-268.
作者姓名:吴财芳  曾勇
作者单位:中国矿业大学资源与地球科学学院,徐州221008
摘    要: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。

关 键 词:冲击地压  神经网络  预测预报
收稿时间:2003-03-27
修稿时间:2003-05-28

APPLICATION OF NEURAL NETWORKS TO STUDY AND PREDICTION FORECAST ROCKBURST
WU Caifang,ZENG Yong.APPLICATION OF NEURAL NETWORKS TO STUDY AND PREDICTION FORECAST ROCKBURST[J].chinese journal of theoretical and applied mechanics,2003,11(3):263-268.
Authors:WU Caifang  ZENG Yong
Institution:Resource Engineering And Earth Science College, China University of Mining and Technology, Xuzhou221008
Abstract:The main factors influencing rockburst are analyzed, the complex non-linear relation between the factors are firstly simulated on neural network model and remove the influences of artificial choosing the risk indexes in traditional methods. Test result shows that the model is reliable and precise and provides basis for application of the artificial intelligence to rockburst prediction.
Keywords:Rockburst  Neural networks  Forecast and prediction
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