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中文摘要: 介绍了将人工神经元网络用于灾害性天气(暴雨)预报研究的情况。分析了天气预报问题的数学提法及困难所在,神经元网络用于天气预报的原理,暴雨预报的特点及我们对网络模型的改进。结果表明,神经网络确可通过学习从原始数据中提取足够的分类信息,达到较好的预报准确率,值得进一步研究。
中文关键词: 神经元网络，灾害性天气预报，改讲
Abstract:The research on the application of artificial neural networks for calamitous (rainstorm) weather forecast is reported. The mathematical description of weather forecast,the difficult points of the problem,the principle of neural network for forecast,the characteristics of rainstorm forecast and our improvements of neural network models are described and analyzed. The results show that by learning from samples, the networks can extract enough classified imformations from original data and reach good forecast index. It means further works in this direction are worth.
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基金项目:非线性研究攀登项目
| 作者 | 单位 |
| 张承福 | 北京大学物理系 1000871 |
| Author Name | Affiliation |
引用文本：
张承福,1994.人工神经网络在天气预报中的应用研究[J].气象,20(6):43-47.
,1994.On the Application of Artificial Neural Network for Weather Forecast[J].Meteor Mon,20(6):43-47.
张承福,1994.人工神经网络在天气预报中的应用研究[J].气象,20(6):43-47.
,1994.On the Application of Artificial Neural Network for Weather Forecast[J].Meteor Mon,20(6):43-47.