| 提高人工神经网络洪水峰值预报精度的研究 |
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| 引用本文： | 李鸿雁,刘寒冰,苑希民,刘树坤.提高人工神经网络洪水峰值预报精度的研究[J].自然灾害学报,2002,11(1):57-61. |
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| 作者姓名： | 李鸿雁 刘寒冰 苑希民 刘树坤 |
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| 作者单位： | 1. 吉林工业大学理学院,吉林,长春,130025
2. 中国水利水电科学研究院,北京,100038 |
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| 基金项目： | 国家自然科学基金资助项目（59809007） |
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| 摘 要： | 以动量项与学习率自适应调整相结合的改进BP算法作为人工神经网络计算方法，阐述了洪水预报网络模型的构造和数据处理，以及转移函数对洪水预报精度的影响，提出了合理的洪水预报网络模型的设计方案。
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| 关 键 词： | 人工神经网络 洪水预报 洪峰预报精度 |
| 文章编号： | 1004-4574(2002)01-0057-05 |
| 修稿时间： | 2000年8月24日 |
Study on improving peak flood forecast accuracy of artificial neural network |
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| LI Hong-yan. LIU Han-bing,YUAN Xi-min,LIU Shu-kun.Study on improving peak flood forecast accuracy of artificial neural network[J].Journal of Natural Disasters,2002,11(1):57-61. |
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| Authors: | LI Hong-yan LIU Han-bing YUAN Xi-min LIU Shu-kun |
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| Institution: | Jilin University of Technology. Changchun 130025. China; China Institute of Water Resources and Hydroelectric Research. Beijing 100038. China |
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| Abstract: | In this paper, an improved algorithm of BP with combination of momentum and learning rate adaptive adjustment is taken as a calculation model. The problem how to improve the networks accuracy in flood forecast is discussed from the aspect of forecast model, typical samples and transfer function, and a reliable design scheme of flood forecast network is presented. The scheme proposed gives a reference to engineering practice. |
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| Keywords: | artificial neural network flood forecast peak flood -forecasting accuracy |
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