| 水工隧洞围岩分类的人工神经网络方法研究 |
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| 引用本文： | 叶宝民,李兴文,张建华.水工隧洞围岩分类的人工神经网络方法研究[J].东北水利水电,2003,21(8):1-2. |
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| 作者姓名： | 叶宝民 李兴文 张建华 |
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| 作者单位： | 深圳市东江水源工程管理处,广东,深圳,518055 |
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| 摘 要： | 本文应用人工神经网络原理解决水工隧洞围岩分类这一非线性和不确定性较大的实际问题,通过建立隧洞围岩的力学指标和环境因素的BP判定模型,为水工隧洞围岩分类提供可靠的途径。
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| 关 键 词： | 人工神经网络 水工隧洞 围岩 分类 |
| 文章编号： | 1002-0624(2003)08-0001-02 |
| 修稿时间： | 2003年2月12日 |
Study on artificial nerve network method of surrounding rock classification for hydraulic tunnel |
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| YE Bao-min,LI Xing-wen,ZHANG Jian-hua.Study on artificial nerve network method of surrounding rock classification for hydraulic tunnel[J].Water Resources & Hydropower of Northeast China,2003,21(8):1-2. |
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| Authors: | YE Bao-min LI Xing-wen ZHANG Jian-hua |
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| Abstract: | The hydraulic tunnel surrounding rock classification, being a nonlinearity and uncertainty question, is resolved by artificial nerve network principle, a reliable way for hydraulic tunnel surrounding rock classification is provided by means of setting up mechanics index of hydraulic tunnel surrounding rock and BP determinant model of environment factor. |
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| Keywords: | artificial nerve network hydraulic tunnel surrounding rock classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
