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| 基于BP算法的泥沙含量预测研究 | |
| 引用本文： | 于东生,严以新,田淳.基于BP算法的泥沙含量预测研究[J].三峡大学学报(自然科学版),2003,25(1):47-51. |
| 作者姓名： | 于东生 严以新 田淳 |
| 作者单位： | 1. 河海大学海岸及海洋工程研究所,南京,210098;三峡大学土木水电学院,湖北,宜昌,443000 2. 河海大学海岸及海洋工程研究所,南京,210098 3. 水利部长江水利委员会长江口水文水资源勘测局,江苏,太仑市,215431 |
| 基金项目： | 国家自然科学基金资助项目(50079003) |
| 摘 要： | 长江口北槽是长江的主航道，泥沙的淤积对航运和河道治理有着极为重要的影响。根据ADCP资料，应用BP算法对长江口的泥沙含量进行了研究，建立了泥沙含量预测模型并根据实例资料进行了验证，实现了根据ADCP资料推求泥沙含量，其结果满足精度要求。 |
| 关 键 词： | BP算法 泥沙含量 预测 人工神经网络 |
| 文章编号： | 1007-7081(2003)01-0047-05 |
| 修稿时间： | 2002年12月3日 |
Research on Forecast of Sediment Concentration Based on BP Algorithm |
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| Yu Dongsheng Yan Yixin Tian Chun.Research on Forecast of Sediment Concentration Based on BP Algorithm[J].Journal of China Three Gorges University(Natural Sciences),2003,25(1):47-51. | |
| Authors: | Yu Dongsheng Yan Yixin Tian Chun |
| Abstract: | An artificial neural network model is used to estimate the sediment concentration in the Yangtze River Estuary. This is achieved by training the network to extrapolate the sediment concentration from the data collected from ADCP. The selection of water and sediment variables used in the model is based on the prior knowledge of the conventional analyses, based on the dynamic laws of flow and sediment,choosing BP neural network structure for training purpose is addressed by using a constructive back-propagation algorithm, The model parameters are extensively investigated in order to get the most accurate results, and the estimated sediment concentration values agree well with the measured ones. |
| Keywords: | the Yangtze River Estuary sediment concentration forecast modeling artificial neural net- work BP algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |