为探讨水文数据非一致性对洪水频率分析的影响,提出基于位置、尺度、形状的广义可加模型(Generalized additive models for location,scale and shape,GAMLSS),从时间和降水两类因素出发,计算单变量、多变量洪水频率,分析经验点据与理...为探讨水文数据非一致性对洪水频率分析的影响,提出基于位置、尺度、形状的广义可加模型(Generalized additive models for location,scale and shape,GAMLSS),从时间和降水两类因素出发,计算单变量、多变量洪水频率,分析经验点据与理论分位曲线拟合效果,选取不同变化条件下洪水适宜理论分布。以汤旺河流域为例,研究结果表明,单变量洪水频率最优分布选取较稳定,而受时间和降水因素影响,多变量洪水频率最优分布选取均不同。与前者相比,引入协变量使原序列参考时间连续性变化和降水极端信息,改进传统洪水频率计算方法。展开更多
Fetal ECG extraction has the vital significance for fetal monitoring.This paper introduces a method of extracting fetal ECG based on adaptive linear neural network.The method can be realized by training a small quanti...Fetal ECG extraction has the vital significance for fetal monitoring.This paper introduces a method of extracting fetal ECG based on adaptive linear neural network.The method can be realized by training a small quantity of data.In addition,a better result can be achieved by improving neural network structure.Thus,more easily identified fetal ECG can be extracted.Experimental results show that the adaptive linear neural network can be used to extract fetal ECG from maternal abdominal signal effectively.What's more,a clearer fetal ECG can be extracted by improving neural network structure.展开更多
文摘为探讨水文数据非一致性对洪水频率分析的影响,提出基于位置、尺度、形状的广义可加模型(Generalized additive models for location,scale and shape,GAMLSS),从时间和降水两类因素出发,计算单变量、多变量洪水频率,分析经验点据与理论分位曲线拟合效果,选取不同变化条件下洪水适宜理论分布。以汤旺河流域为例,研究结果表明,单变量洪水频率最优分布选取较稳定,而受时间和降水因素影响,多变量洪水频率最优分布选取均不同。与前者相比,引入协变量使原序列参考时间连续性变化和降水极端信息,改进传统洪水频率计算方法。
基金Foundation of Young Backbone Teacher of Beijing Citygrant number:102KB000845
文摘Fetal ECG extraction has the vital significance for fetal monitoring.This paper introduces a method of extracting fetal ECG based on adaptive linear neural network.The method can be realized by training a small quantity of data.In addition,a better result can be achieved by improving neural network structure.Thus,more easily identified fetal ECG can be extracted.Experimental results show that the adaptive linear neural network can be used to extract fetal ECG from maternal abdominal signal effectively.What's more,a clearer fetal ECG can be extracted by improving neural network structure.
