相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Suspended sediment load prediction of river systems: An artificial neural network approach
A. M. Melesse et al.
AGRICULTURAL WATER MANAGEMENT (2011)
Long-Term Runoff Modeling Using Rainfall Forecasts with Application to the Igua‡u River Basin
Alexandre Goncalves Evsukoff et al.
WATER RESOURCES MANAGEMENT (2011)
Estimation of Suspended Sediment Yield in Natural Rivers Using Machine-coded Linear Genetic Programming
Aytac Guven et al.
WATER RESOURCES MANAGEMENT (2011)
Application of ANN-Based Streamflow Forecasting Model for Agricultural Water Management in the Awash River Basin, Ethiopia
Desalegn Chemeda Edossa et al.
WATER RESOURCES MANAGEMENT (2011)
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
Holger R. Maier et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Modelling Watershed Scale Soil Loss Prediction and Sediment Yield Estimation
Wen-Chieh Chou
WATER RESOURCES MANAGEMENT (2010)
Rainfall-Runoff Modeling: Comparison of Two Approaches with Different Data Requirements
A. Bhadra et al.
WATER RESOURCES MANAGEMENT (2010)
Uncertainty Analysis in Sediment Load Modeling Using ANN and SWAT Model
Mansour Talebizadeh et al.
WATER RESOURCES MANAGEMENT (2010)
Flow forecast by SWAT model and ANN in Pracana basin, Portugal
Mehmet C. Demirel et al.
ADVANCES IN ENGINEERING SOFTWARE (2009)
Adaptive neuro-fuzzy computing technique for suspended sediment estimation
Ozgur Kisi et al.
ADVANCES IN ENGINEERING SOFTWARE (2009)
Prediction of urban stormwater quality using artificial neural networks
Daniel B. May et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2009)
Reservoir Sedimentation Estimation Using Artificial Neural Network
V. Jothiprakash et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2009)
Investigation of Internal Functioning of the Radial-Basis-Function Neural Network River Flow Forecasting Models
D. Achela K. Fernando et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2009)
Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model
Qin Ju et al.
NEUROCOMPUTING (2009)
Constructing neural network sediment estimation models using a data-driven algorithm
Oezguer Kisi
MATHEMATICS AND COMPUTERS IN SIMULATION (2008)
The effects of sediment-laden waters on irrigated lands along the lower Yellow River in China
Qin Mingzhou et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2007)
Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the Upper Yangtze Catchment, China
Yun-Mei Zhu et al.
GEOMORPHOLOGY (2007)
Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data
Murat Alp et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2007)
Artificial neural networks and high and low flows in various climate regimes
Dionysia Panagoulia
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2006)
Multiple linear regression model for total bed material load prediction
SK Sinnakaudan et al.
JOURNAL OF HYDRAULIC ENGINEERING (2006)
Methods to improve the neural network performance in suspended sediment estimation
HK Cigizoglu et al.
JOURNAL OF HYDROLOGY (2006)
Generalized regression neural network in modelling river sediment yield
HK Cigizoglu et al.
ADVANCES IN ENGINEERING SOFTWARE (2006)
Estimation and forecasting of daily suspended sediment data by multi-layer perceptrons
HK Cigizoglu
ADVANCES IN WATER RESOURCES (2004)
Flood risk mapping for Pari River incorporating sediment transport
SK Sinnakaudan et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2003)
Artificial neural networks for sheet sediment transport
G Tayfur
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2002)
Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China
CW Dawson et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2002)
Prediction of sediment load concentration in rivers using artificial neural network model
HM Nagy et al.
JOURNAL OF HYDRAULIC ENGINEERING-ASCE (2002)
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
HR Maier et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2000)
分享论文
