| 基于遗传算法实现聚类的煤矿内因火灾识别 |
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| 引用本文： | 孙继平,宋姝.基于遗传算法实现聚类的煤矿内因火灾识别[J].湖南科技大学学报(自然科学版),2006,21(1):1-4. |
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| 作者姓名： | 孙继平 宋姝 |
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| 作者单位： | 中国矿业大学,信息工程研究所,北京,100083 |
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| 基金项目： | 教育部博士点基金资助项目（20030290019） |
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| 摘 要： | 针对煤矿内因火灾早期识别的困难，采用模糊聚类的方法对煤炭内因火灾发生程度进行划分．并利用遗传算法在大多数情况下可以收敛到全局或近全局最优解的特点，在此基础上提出了一种基于遗传算法的模糊聚类方法以进一步提高聚类的效果，并通过实例验证了该方法的有效性．图2，表1，参11．
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| 关 键 词： | 煤矿 内因火灾 模糊C均值聚类 遗传算法 |
| 文章编号： | 1672-9102（2006）01-0001-04 |
| 收稿时间： | 2005-09-19 |
| 修稿时间： | 2005年9月19日 |
Clustering in early recognition of coal mine internal-caused fire based on genetic algorithm |
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| SUN Ji-ping,SONG Shu.Clustering in early recognition of coal mine internal-caused fire based on genetic algorithm[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2006,21(1):1-4. |
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| Authors: | SUN Ji-ping SONG Shu |
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| Institution: | Institute of Information Engineering, China University of Mining and Technology, Beijing 100083, China |
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| Abstract: | The internal-caused fire is a disaster of coal mine. The exact early detection is difficult to obtain. Fuzzy clustering is presented to solve the problem and the degrees of the combustion can be classified clearly. To enhance the effect of fuzzy clustering, a new method of fuzzy clustering based on genetic algorithm was introduced in the paper. The efficiency of the method is demonstrated by the example. 2figs.,1tab.,11refs. |
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| Keywords: | coal mine internal-caused fire fuzzy C-means clustering genetic algorithm |
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