| 较优GM(1,N)模型在大坝安全监控中的应用 |
| |
| 引用本文： | 周晓贤.较优GM(1,N)模型在大坝安全监控中的应用[J].水电能源科学,2002,20(2):45-47. |
| |
| 作者姓名： | 周晓贤 |
| |
| 作者单位： | 河海大学水利水电工程学院,江苏南京,210098 |
| |
| 摘 要： | 灰色模型可以克服随机分析模型的某些缺点，但有时灰色模型的拟合精度较低，针对这个问题，提出了用灰关联度较大的显著变量建立较优GM（1，N）模型的方法，并将其应用于大坝安全监控领域。算例表明，较优GM（1，N）模型的精度比逐步回归模型要高。
|
| 关 键 词： | 大坝 安全监控 灰色模型 关联度 |
| 文章编号： | 1000-7709(2002)02-0045-03 |
| 修稿时间： | 2001年11月14 |
Application of Improved GM(1,N) Model in Dam Safety Monitoring |
| |
| ZHOU Xiao,xian.Application of Improved GM(1,N) Model in Dam Safety Monitoring[J].International Journal Hydroelectric Energy,2002,20(2):45-47. |
| |
| Authors: | ZHOU Xiao xian |
| |
| Abstract: | Some disadvantages in statistical model can be overcome by grey model, but sometimes the precision of grey model is relatively low. Aiming at the problem, an improved grey model using prominent variables with bigger correlative degrees is brought forward in this paper, and it can be used in dam safety monitoring. Study shows that the precision of the improved grey model is better than the stepwise regression model. |
| |
| Keywords: | dam safety monitoring grey model correlative degree |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
