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| 应用人工神经网络模型预测白城地区枯季地下水位 | |
| 引用本文： | 钟诚,张军保,张镜波,孙爽. 应用人工神经网络模型预测白城地区枯季地下水位[J]. 东北水利水电, 2009, 27(11): 32-34,38 |
| 作者姓名： | 钟诚 张军保 张镜波 孙爽 |
| 作者单位： | 1. 吉林省水文水资源局,吉林,长春,130022 2. 吉林省水文水资源局延边分局,吉林,延边,133001 3. 吉林省水文水资源局松原分局,吉林,松原,138000 |
| 摘 要： | 根据白城地区地形、地质、土壤、植被在一定时间范围内具有相当稳定的特性,选取10月平均水位、汛期6～9月降水量、枯季11～次年3月降水量3个因子,对次年5月平均地下水位进行预测.优化得出的BP网络模型不仅拟合精度高,而且预测效果好. |
| 关 键 词： | 人工神经网络 BP模型 地下水位 预测 |
Study on groundwater level forecasting of dry season by using artificial neural network model in Baicheng area |
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| ZHONG Cheng,ZHANG Jun-bao,ZHANG Jing-bo,SUN Shuang. Study on groundwater level forecasting of dry season by using artificial neural network model in Baicheng area[J]. Water Resources & Hydropower of Northeast China, 2009, 27(11): 32-34,38 | |
| Authors: | ZHONG Cheng ZHANG Jun-bao ZHANG Jing-bo SUN Shuang |
| Abstract: | Based on the stable characteristics of the topography,geology,soil,vegetation within a certain time for Baicheng area,the paper forecasts average groundwater level in May next year by selecting the average water level in October,precipitations from June to September and from November to March.The optimized BP network model has high fitting accuracy and good forecast effect. |
| Keywords: | artificial neural network BP model groundwater level forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
