| BP神经网络在岩爆预测中的应用 |
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| 引用本文： | 李永松,尹健民,艾凯.BP神经网络在岩爆预测中的应用[J].长江科学院院报,2008,25(5). |
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| 作者姓名： | 李永松 尹健民 艾凯 |
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| 作者单位： | 长江科学院,水利部岩土力学与工程重点实验室,武汉,430010;长江科学院,水利部岩土力学与工程重点实验室,武汉,430010;长江科学院,水利部岩土力学与工程重点实验室,武汉,430010 |
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| 基金项目： | 国家自然科学基金委员会、二滩水电开发有限责任公司雅砻江水电开发联合研究基金 |
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| 摘 要： | 综合考虑围岩产生岩爆的内外在因素,采用地应力大小、岩石抗压和抗拉强度、岩石弹性能量指数等参数作为指标,建立了BP人工神经网络岩爆预测模型.将国内外具有代表性的工程实例作为样本,以提高网络的泛化能力;采用Levenberg-Marquardt算法来训练BP神经网络,以提高效率.实例表明,采用本文所给出的BP神经网络模型预测结果与实际情况相符,说明了此模型的有效性.
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| 关 键 词： | 岩爆 BP神经网络 预测 Matlab |
Application of BP Neural Network in Prediction of Rockburst |
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| LI Yong-song,YIN Jian-min,AI Kai.Application of BP Neural Network in Prediction of Rockburst[J].Journal of Yangtze River Scientific Research Institute,2008,25(5). |
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| Authors: | LI Yong-song YIN Jian-min AI Kai |
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| Affiliation: | LI Yong-song,YIN Jian-min,AI Kai(Yangtze River Scientific Research Institute,Wuhan 430010,China) |
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| Abstract: | Taking into account internal and exterior factors of rockburst,a model using BP neural network is proposed,in which the in-situ stress,the compressive strength,the tensile strength and the elastic energy index of the cavern are chosen as criteria indexes.Some representative engineering projects at home and aboard are collected as learning and training samples,so as to improve the extensive ability of neural network,and Levenberg-Marquardt algorithm is applied to achieve better performance during the trainin... |
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| Keywords: | Matlab |
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