| 小样本条件下的煤矿安全评价方法研究 |
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| 引用本文： | 杜亚敏,杨力,储磊珠.小样本条件下的煤矿安全评价方法研究[J].企业科技与发展,2009(11):42-44. |
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| 作者姓名： | 杜亚敏 杨力 储磊珠 |
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| 作者单位： | 安徽理工大学经济管理学院,安徽淮南232001 |
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| 基金项目： | 安徽省高校省级重点自然科学项目（KJ2009A59）. |
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| 摘 要： | 研究煤矿安全评价问题的现状，针对传统的BP神经网络要获得可信度较高的评价模型需要大量的样本进行学习的缺点，采用V—fold Cross—validation技巧，利用MATLAB神经网络工具箱，建立基于BP神经网络的煤矿安全评价模型，利用实际指标数据研究小样本条件下的煤矿安全评价，并验证评价效果的有效性。
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| 关 键 词： | 安全评价 BP神经网络 小样本 V—fold Cross—validation |
Some Researches on Mining Safety Assessment Method Based on the Small Sample |
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| Authors: | DU Ya-min YANG Li CHU Lei-zhu |
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| Institution: | (School of Economics and Management of Anhui University of Science and Technology, Huainan Anhui 232001 ) |
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| Abstract: | The article gives insight into the status quo of the mining safety assessment. Targeting the flaw of the traditional BP neural network, the examination of too many samples of a high credibility, the mining unit adopts V-fold Cross-validation technology, utilizes MATLAB neural network kit, establishes mining safety assessment model based on BP neural network, utilizes assessment that is based on small sample and finally proves the effectiveness of assessment result. |
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| Keywords: | safety assessment BP neural network small sample V-fold Cross-validation |
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