Application of BP Artificial Neural Networks Model to Forecast Sediment Concentration of Longmen Station of the Yellow River

摘要：

　　Artificial Neural Networks (ANN) is applied more and more in various fields as its powerful nonlinear processing capacity and the ability of serf-learning and selforganizing.This article built a BP network using the rate of sediment transportation and precipitation of areas of the middle and lower reaches of YR from Wubao Station (WBS)to Longmen Station (LMS).It is showed that the forecast precision of BP network is quite high and can be used for reference in engineering practice.

关键词： Artificial Neural Networks sediment concentration process forecast BP network genetic algorithm self-adjusted momentum-learning rate algorithm

作者: Cao Yanxu Liang Zhongmin Huo Shiqing Xu Keyan

作者单位: College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China Hydrology Bureau, YRCC, Ministry of Water Resources, Zhengzhou, 450004, China

会议类型: 国际会议

会议名称: The 5th International Yellow River Forum (第五届黄河国际论坛)

会议地点: 郑州

会议语种:英文

页码: 218-224

在线出版日期: 2012-09-24（万方平台首次上网日期，不代表论文的发表时间）