| 两种自适应统计天气预报建模方法的比较 |
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| 引用本文： | 王海斌,葛雪雁.两种自适应统计天气预报建模方法的比较[J].孝感学院学报,2007,27(3):80-83. |
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| 作者姓名： | 王海斌 葛雪雁 |
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| 作者单位： | 1. 91550部队,司令部,辽宁,大连,116023
2. 91550部队,装备部,辽宁,大连,116023 |
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| 摘 要： | 阐述了应用卡尔曼滤波法和BP网络法进行天气预报建立模型的基本原理,通过具体的预报试验说明两种自适应方法建模明显优于传统的逐步回归方法建模,为数值天气预报产品的统计解释应用提供了新思路。
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| 关 键 词： | 线性回归 BP网络 天气预报 自适应算法 |
| 文章编号： | 1671-2544（2007）03-0080-04 |
| 收稿时间： | 2007-03-30 |
| 修稿时间： | 2007-03-30 |
Comparison of Two Adaptive Statistical Weather Forecast Modeling |
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| Wang Haibin,Ge Xueyan.Comparison of Two Adaptive Statistical Weather Forecast Modeling[J].JOURNAL OF XIAOGAN UNIVERSITY,2007,27(3):80-83. |
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| Authors: | Wang Haibin Ge Xueyan |
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| Abstract: | In this paper,principles of weather forecast modeling based on Kalman filtering and BP neural networks are introduced.Forecast results indicated that weather forecast modeling based on Kalman filtering and BP neural networks was superior to that based on stepwise regression analysis,and this provide new way for statistical interpretation of mathematical forecast products. |
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| Keywords: | stepwise regression BP neural networks weather forecast adaptive algorithm |
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