| 人工神经网络峰值识别理论及其在洪水预报中的应用 |
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| 引用本文： | 李鸿雁,刘寒冰,苑希民,刘树坤. 人工神经网络峰值识别理论及其在洪水预报中的应用[J]. 水利学报, 2002, 33(6): 0015-0021 |
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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. 吉林大学,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： | 自然科学基金资助项目 (5 980 90 0 7) |
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| 摘 要： | 本文在总结大量洪水预报实践经验的基础上，提出了一种峰值识别理论及相应的改进BP算法(Error Back Propagation with Peak Recognizer,简称BPPR).该理论及算法在修改网络权重时，偏重大值误差，即大值误差对权重的修改起主要作用.这种BPPR算法使人工神经网络洪水预报模型对洪峰的预报精度显著提高，从而保证了洪峰预报的可靠性.
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| 关 键 词： | 人工神经网络 峰值识别理论 洪水预报 |
| 文章编号： | 0559-9350(2002)06-0015-06 |
| 修稿时间： | 2001-12-20 |
Peak value recognition theory of artificial neural network and its application to flood forecasting |
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| LI Hong-yan,LIU Han-bing,YUAN Xi-min,LIU Shu-kun. Peak value recognition theory of artificial neural network and its application to flood forecasting[J]. Journal of Hydraulic Engineering, 2002, 33(6): 0015-0021 |
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| Authors: | LI Hong-yan LIU Han-bing YUAN Xi-min LIU Shu-kun |
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| Affiliation: | 1.Jilin University; 2.China Institute of Water Resources and Hydropower Research |
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| Abstract: | A modified BP algorithm with peak recognition theory (BPPR) is proposed for improving the calculation of artificial neural network. By this algorithm the error correction of flood peak value is mainly depending on the modification of weight according to the error of the big values. It is useful to improve peak value recognition the accuracy of flood forecasting. |
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| Keywords: | artificial neural network peak value recognition theory flood forecasting accuracy of forecasting |
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