| 利用人工神经网络预报芜湖的雾 |
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| 引用本文： | 王雷,黄培强.利用人工神经网络预报芜湖的雾[J].气象科学,2001,21(2):200-205. |
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| 作者姓名： | 王雷 黄培强 |
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| 作者单位： | 解放军理工大学气象学院 |
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| 摘 要： | 雾对人类的活动有着很大的影响，尤其是对军事活动影响更为突出。由于雾是一种小概率事件，准确地定点预报雾难度更大。本文提出了神经网络B－P算法输入层因子的筛选方法，隐层挑选、位置矩阵等特殊处理方法，它们对于网络的稳定学习是非常有效的。通过对芜湖雾日预报试验，取得了较为满意的试报效果。
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| 关 键 词： | 人工神经网络 预报因子筛选 雾预报 人类活动 最佳拟合率 |
| 修稿时间： | 1999年6月28日 |
FOG FORECASTING WTTH ARTIFICIAL NEURAL NETWORKS ON WUHU STATION |
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| Wang Lei,Huang Peiqiang.FOG FORECASTING WTTH ARTIFICIAL NEURAL NETWORKS ON WUHU STATION[J].Scientia Meteorologica Sinica,2001,21(2):200-205. |
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| Authors: | Wang Lei Huang Peiqiang |
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| Abstract: | The fog has a great influence on the activity of human beings,especially on military operation.Because fog has a low possibility to appear,the forecasting of fog has it s great importance and difficulty.In this paper,the B-P algorithm of artificial neural network is studied systemically,the screening method of input layer factors of neural networkor,the selection of masked layer and position matrix which is promoted are valid for the studying of neural network.By the fog forecasting in Wuhu,the satisfactory result is got by it. |
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| Keywords: | Artificial neural network Factor screening Fog forecast |
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