| 小波神经网络在矿井安全管理评价中的应用 |
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| 引用本文： | 周荣义,李树清,牛会永. 小波神经网络在矿井安全管理评价中的应用[J]. 煤炭科学技术, 2006, 34(5): 67-70 |
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| 作者姓名： | 周荣义 李树清 牛会永 |
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| 作者单位： | 湖南科技大学,能源与安全工程学院,湖南,湘潭,411201 |
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| 摘 要： | 在考察传统安全评价方法之弊端的基础上,提出了利用小波神经网络理论进行安全评价的可行性和优越性;阐述了小波神经网络的基本原理;提出和分析了基于小波神经网络的矿井安全管理评价模型及其评价步骤;并通过实例证明了小波神经网络应用于矿井安全管理评价中的可行性和优越性.结果表明,用小波神经网络对矿井安全管理进行评价,其评价结果更准确,精度更高.
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| 关 键 词： | 小波神经网络 矿井安全管理 安全评价 |
| 文章编号： | 0253-2336(2006)05-0067-04 |
| 收稿时间： | 2005-12-28 |
| 修稿时间： | 2005-12-28 |
Application of wavelet neural network in mine safety management assessment |
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| ZHOU Rong-yi,LI Shu-qing,NIU Hui-yong. Application of wavelet neural network in mine safety management assessment[J]. Coal Science and Technology, 2006, 34(5): 67-70 |
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| Authors: | ZHOU Rong-yi LI Shu-qing NIU Hui-yong |
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| Affiliation: | School of Energy and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China |
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| Abstract: | Base on the study of the shortages of the traditional safety assessment method, the paper pointed out the feasibility and advantages of the safety assessment with the wavelet neural network theory. The paper stated the basic principle of the wavelet neural network. The provided and analyzed the mine safety management assessment model and the assessment steps base on the wavelet neural network. The practical cases showed the feasibility and advantages of the mine safety management assessment with the application of wavelet neural network. The results showed that the mine safety management assessed with the wavelet neural network would make the assesment result more accurate with higher accuracy. |
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| Keywords: | wavelet neural network mine safety management safety assessment |
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