| 人工增雨有利条件的神经网络识别与估价 |
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| 引用本文： | 汪列,蔡煜东.人工增雨有利条件的神经网络识别与估价[J].应用气象学报,1994,5(1):125-128. |
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| 作者姓名： | 汪列 蔡煜东 |
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| 作者单位： | 1.中国科学院上海冶金研究所 |
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| 摘 要： | 运用人工神经网络研究人工增雨的天气条件的识别，并选取一组标样作为研究对象，预测准确率为100%。结果表明，该方法性能良好，可望成为对人工增雨作业天气条件分析、识别的有效手段
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| 关 键 词： | 人工增雨 人工神经网络 “反向传播”模型 |
The Recognition and Estimation of the Advantages of Artificial Precipitation Enhancement by Neural Network |
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| Cai Yudong,Wang Lie,Yao Linshen.The Recognition and Estimation of the Advantages of Artificial Precipitation Enhancement by Neural Network[J].Quarterly Journal of Applied Meteorology,1994,5(1):125-128. |
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| Authors: | Cai Yudong Wang Lie Yao Linshen |
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| Affiliation: | 1.(Shanghai Institute of Metallurgy, Academia Sinica, Shanghai 200050) |
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| Abstract: | The artificial neural network is applied to the recognition of weather conditions ofartificial precipitation enhancement in this paper,and a group of samples is collected asan object of the study. The results show that the performance of the neural network ap-proach is good,and therefore it might be referred as an effective technique for the analy-sis and recognition of weather conditions of artificial precipitation enhancement. |
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| Keywords: | Artificial precipitation enhancement Artificial neural network Back-propa- gation model |
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