| 基于自组织神经网络的煤矿安全预警系统 |
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| 引用本文： | 牛强,周勇,王志晓,夏士雄.基于自组织神经网络的煤矿安全预警系统[J].计算机工程与设计,2006,27(10):1752-1753,1756. |
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| 作者姓名： | 牛强 周勇 王志晓 夏士雄 |
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| 作者单位： | 中国矿业大学,计算机科学与技术学院,江苏,徐州,221008 |
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| 基金项目： | 中国矿业大学校科研和教改项目 |
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| 摘 要： | 结合煤矿安全生产的具体要求,将自组织神经网络原理运用于煤矿安全预警问题中,建立了多指标综合评价的安全预警系统网络模型,并以实测数据为例对所建模型进行了训练和检验,研究结果表明,该网络性能良好、预测精度高且简便易行,是安全综合评价的一种有效方法.
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| 关 键 词： | 自组织神经网络 煤矿安全 预警系统 |
| 文章编号： | 1000-7024（2006）10-1752-02 |
| 收稿时间： | 2005-04-16 |
| 修稿时间： | 2005-04-16 |
Coal safety early-warning system base on self-organization neural networks |
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| NIU Qiang,ZHOU Yong,WANG Zhi-xiao,XIA Shi-xiong.Coal safety early-warning system base on self-organization neural networks[J].Computer Engineering and Design,2006,27(10):1752-1753,1756. |
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| Authors: | NIU Qiang ZHOU Yong WANG Zhi-xiao XIA Shi-xiong |
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| Affiliation: | School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221008, China |
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| Abstract: | With the demand of coal safety production, using the principle of self-organization neural networks in coal safety early-warning system, the model of multi-index safety quality synthesis evaluation was established. The model is trained and tested by the examples of real sample data. The results show that self-organization neural networks have an excellent network performance, high prediction accuracy and are easy to use. As a result, it is an effective safety synthesis evaluation method. |
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| Keywords: | self-organization neural networks coal safety early-warning system |
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