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基于BP神经网络的隧道岩爆预测模型研究
引用本文:樊永攀.基于BP神经网络的隧道岩爆预测模型研究[J].山西建筑,2009,35(19):335-336.
作者姓名:樊永攀
作者单位:张承高速公路张家口管理处,河北,张家口,075000
摘    要:在分析岩爆主要影响因素的基础上,建立了基于BP神经网络岩爆预测模型,采用已有岩爆发生数据作为训练样本对网络进行训练,利用收敛的网络进行岩爆烈度预测,预测结果与实际吻合,说明利用人工神经网络预测岩爆发生烈度是一种可行的方法。

关 键 词:岩爆  神经网络  预测模型

Study of tunnel rockburst prediction model based on BP neural network
FAN Yong-pan.Study of tunnel rockburst prediction model based on BP neural network[J].Shanxi Architecture,2009,35(19):335-336.
Authors:FAN Yong-pan
Affiliation:FAN Yong-pan
Abstract:Based on BP neural network theory, the main factors affecting rockburst are analyzed, and a new rockburst prediction model is established. Taking the existed rockburst data as training swatch, the intensity of roekburst is predicted with oonvergent network. The results are coincident with the actual projects, it is proved that the method is feasible.
Keywords:roekburst  neural network  prediction model
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