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.
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.
出处
《北京交通大学学报》
EI
CAS
CSCD
北大核心
2008年第1期101-103,107,共4页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
关键词
人工智能
改进离散灰色模型
预测
artificial intelligence
improved discrete grey model
prediction