A neural network experiment on the simulation of daily nitrate-nitrogen and suspended sediment fluxes from a small agricultural catchment
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[1] François Anctil,et al. Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models , 2004, Environ. Model. Softw..
[2] John R. Williams,et al. LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .
[3] D W Smith,et al. Neural networks modelling of streamflow, phosphorus, and suspended solids: application to the Canadian Boreal forest. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[4] Bernard Bobée,et al. Prévision hydrologique par réseaux de neurones artificiels : état de l'art , 1999 .
[5] R Govindaraju,et al. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS , 2000 .
[6] V. Klemeš,et al. Operational Testing of Hydrological Simulation Models , 2022 .
[7] null null,et al. Artificial Neural Networks in Hydrology. II: Hydrologic Applications , 2000 .
[8] Holger R. Maier,et al. Optimal division of data for neural network models in water resources applications , 2002 .
[9] S. Sogon,et al. Estimation of sediment yield and soil loss using suspended sediment load and 137Cs measurements on agricultural land, Brie Plateau, France , 1999, Hydrobiologia.
[10] Teuvo Kohonen,et al. Self-Organizing Maps , 2010 .
[11] François Anctil,et al. Characterization of soil moisture conditions at temporal scales from a few days to annual , 2004 .
[12] François Anctil,et al. Evaluation of Neural Network Streamflow Forecasting on 47 Watersheds , 2005 .
[13] Spectral and cross-spectral analysis of three hydrological systems , 2000 .
[14] Asaad Y. Shamseldin,et al. Modification of the probability-distributed interacting storage capacity model , 1999 .
[15] V. Gomendy. Variabilités spatiale et temporelle des propriétés structurales et hydriques des horizons de surface de la couverture limoneuse du bassin versant d'Orgeval (Brie) , 1996 .
[16] James M. Ehrman,et al. Using neural networks to assess the influence of changing seasonal climates in modifying discharge, dissolved organic carbon, and nitrogen export in eastern Canadian rivers , 1998 .
[17] Holger R. Maier,et al. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications , 2000, Environ. Model. Softw..
[18] G. Billen,et al. Nitrate dynamics in artificially drained nested watersheds , 2011 .
[19] Anthony J. Jakeman,et al. A review of erosion and sediment transport models , 2003, Environ. Model. Softw..
[20] Jeffrey G. Arnold,et al. The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions , 2007 .
[21] M. Starr,et al. An application of artificial neural networks to carbon, nitrogen and phosphorus concentrations in three boreal streams and impacts of climate change , 2006 .
[22] S. Lek,et al. Predicting phosphorus concentration and phosphorus load from watershed characteristics using backpropagation neural networks , 1996 .
[23] N. Null. Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .
[24] J. Arnold,et al. SWAT2000: current capabilities and research opportunities in applied watershed modelling , 2005 .
[25] Teuvo Kohonen,et al. Self-Organizing Maps, Second Edition , 1997, Springer Series in Information Sciences.
[26] Kwok-wing Chau,et al. A review on integration of artificial intelligence into water quality modelling. , 2006, Marine pollution bulletin.
[27] A. Sarangi,et al. Comparison of Artificial Neural Network and regression models for sediment loss prediction from Banha watershed in India , 2005 .
[28] Xixi Lu,et al. Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the Upper Yangtze Catchment, China , 2007 .
[29] J. Wayland Eheart,et al. Evaluation of Neural Networks for Modeling Nitrate Concentrations in Rivers , 2003 .
[30] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[31] C. Perrin,et al. Improvement of a parsimonious model for streamflow simulation , 2003 .
[32] A. Shamseldin. Application of a neural network technique to rainfall-runoff modelling , 1997 .
[33] David J. C. MacKay,et al. Bayesian Interpolation , 1992, Neural Computation.
[34] Martin T. Hagan,et al. Gauss-Newton approximation to Bayesian learning , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[35] Simon X. Yang,et al. Neural networks for predicting nitrate-nitrogen in drainage water , 2003 .
[36] N. Lauzon,et al. Generalisation for neural networks through data sampling and training procedures, with applications to streamflow predictions , 2004 .
[37] V. Andréassian,et al. Spatial and temporal variability of Total Suspended Solids in the Seine basin , 1999, Hydrobiologia.
[38] M Sivakumar,et al. Comparison of artificial neural network and regression models in the prediction of urban stormwater quality. , 2008, Water environment research : a research publication of the Water Environment Federation.
[39] François Anctil,et al. A soil moisture index as an auxiliary ANN input for stream flow forecasting , 2004 .
[40] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[41] G. Lischeid. Investigating trends of hydrochemical time series of small catchments by artificial neural networks , 2001 .
[42] R. Wieland,et al. The use of neural networks in agroecological modelling , 1995 .
[43] W. J. Northcott,et al. DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR HYDROLOGIC AND WATER QUALITY MODELING OF AGRICULTURAL WATERSHEDS , 2004 .
[44] Shiv O. Prasher,et al. PREDICTION OF ANNUAL NITRATE-N LOSSES IN DRAIN OUTFLOWS WITH ARTIFICIAL NEURAL NETWORKS , 2000 .