位置：成果数据库 > 期刊 > 期刊详情页
Wavelet neuralmodeling for hydrologic time series forecasting with uncertainty evaluation
  • ISSN号：0920-4741
  • 期刊名称：Water Resources Management
  • 时间：2015.1.16
  • 页码：1789-1801
  • 相关项目：气候变化下流域径流过程复杂性的测度与辨识
作者： Yan Fang Sang|
同期刊论文项目
气候变化下流域径流过程复杂性的测度与辨识
期刊论文 30 会议论文 1
同项目期刊论文
小波分析方法在水文学中的应用研究现状及展望
1956-2010年甬江流域降水变化特性分析
Improved Wavelet Modeling Framework for Hydrologic Time Series Forecasting
Spatial and temporal variability of daily temperature during 1961-2010 in the Yangtze River Basin, C
Wavelet entropy-based investigation into the daily precipitation variability in the Yangtze River De
Gradation of complexity andpredictability of hydrological processes
Wavelet-BasedHydrological Time Series Forecasting
基于贝叶斯理论和小波回归模型耦合的水文时间序列概率预报方法
HIMS模型参数的不确定性及其影响因素
流域面积和降水量对中小流域水文效果影响分析
水文频率线型选择与综合过程中贝叶斯因子求解新方法
Temporal-Spatial Climate Variability in the Headwater Drainage Basins of the Yangtze River and Yello
Comparison of the MK test and EMD method for trend identification in hydrological time series
Bayesian-combined wavelet regressive modeling for hydrologic time series forecasting
The impact of changing environments on the runoff regimes of the arid Heihe River basin, China
水文时间序列分析方法研究进展
潮河流域降水—径流关系变化及驱动因子识别
Energy-Based Wavelet De-Noising of Hydrologic Time Series
Spatial and temporal variability of precipitation extrema in the Haihe River Basin, China
丰枯遭遇对引汉济渭受水区水资源配置的影响研究
What factors are responsible for the Beijing storm?
A review on the applications of wavelet transform in hydrology time series analysis
Improved continuous wavelet analysis of variation in the dominant period of hydrological time series
1956—2010年甬江流域降水变化特性分析
小波分析方法在水文学研究中的应用现状及展望