| 改进的离散灰色模型及其应用 |
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| 引用本文： | 肖燕彩,陈秀海,朱衡君.改进的离散灰色模型及其应用[J].北京交通大学学报(自然科学版),2008,32(1):101-103,107. |
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| 作者姓名： | 肖燕彩 陈秀海 朱衡君 |
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| 作者单位： | 北京交通大学机械与电子控制工程学院 北京100044(肖燕彩，朱衡君)，北京电力公司 北京100031(陈秀海) |
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| 摘 要： | 在文献研究的基础上,对离散灰色模型作了进一步改进,给出一种预测的新方法.该方法将离散灰色模型中的已知条件作了适当的拓广,从而使新模型具有更高的精度.通过变压器油中溶解气体预测的实例分析验证了该方法的有效性.
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| 关 键 词： | 人工智能 改进离散灰色模型 预测 |
| 文章编号： | 1673-0291（2008）01-0101-04 |
| 收稿时间： | 2006-07-14 |
| 修稿时间： | 2007-12-28 |
Improved Discrete Grey Model and Its Application |
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| XIAO Yancai,CHEN Xiuhai,ZHU Hengjun.Improved Discrete Grey Model and Its Application[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,2008,32(1):101-103,107. |
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| Authors: | XIAO Yancai CHEN Xiuhai ZHU Hengjun |
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| Abstract: | On the basis of the research results published in existing relevant references,the discrete grey model is further improved and a new method is given.In this method the known condition of the discrete grey model is expanded properly,which provides the new model with higher precision.The actual case of dissolved gas prediction in power transformer oil is employed to demonstrate the validity of the proposed approach. |
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| Keywords: | artificial intelligence improved discrete grey model prediction |
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