摘要
本文通过对多年实测资料的分析 ,总结出对三门峡水库泥沙冲淤量影响很大的变量的经验公式。在分析了汛期三门峡水库泥沙冲淤影响因子的基础上 ,鉴于模糊集合论与神经网络和智能预报的研究关系密切 ,可对非线性问题进行智能预报的特点 ,利用模糊神经网络模型对三门峡水库泥沙冲淤量进行了计算。该模型精度满足要求 ,计算结果比较合理 。
Based on analysis of the many measured data of Sanmenxia reservoir an experimental formula is presented with some factors affected by the change of sedimentation and scour of Sanmenxia reservoir.Based on the predicting characteristics of the nonlinear problem, the sedimentation and scour of Sanmenxia reservoir in flood season may be calculated by the model of fuzzy neural network.The reasonable calculation results show that the model of fuzzy neural network is safisfactory for calculation of sedimentation and scour of reservoir.
出处
《水力发电学报》
EI
CSCD
北大核心
2004年第2期39-43,共5页
Journal of Hydroelectric Engineering
基金
国家自然科学基金资助项目 (599790 2 0 )
关键词
河流泥沙工程学
模糊神经网络
水库泥沙冲淤量
三门峡水库
river sediment engineering
fuzzy neural network
sedimentation and scour of reservoir
Sanmenxia reservoir
