The past decade has witnessed a flurry of hydrologic research activity related to artificial neural networks (ANNs). This volume is a compilation of chapters that have been contributed by researchers from several countries, and represents a wide spectrum of ANN applications in hydrology. Future potent...
This paper forms the second part of the series on application of artificial neural networks (ANNs) in hydrology. The role of ANNs in various branches of hydrology has been examined here. It is found that ANNs are robust tools for modeling many of the nonlinear hydrologic processe...
Artificial Neural Networks in Hydrology 来自 AGRIS 喜欢 0 阅读量: 364 作者: None 摘要: This paper forms the second part of the series on application of artificial neural networks (ANNs) in hydrology. The role of ANNs in various branches of hydrology has been examined here. It is found that...
Critical review of applications of artificial neural networks in groundwater hydrology 来自 Semantic Scholar 喜欢 0 阅读量: 33 作者:AK Rastogi,BK Mohan 摘要: Artificial Neural Networks (ANNs) are massively parallel distributed processors made up of simple processing units which store knowledge of the...
International Association of Scientific Hydrology BulletinR. Chibanga, J. Berlamont and J. Vandewalle, "Model- ling and Forecasting of Hydrological Variables Using Ar- tificial Neural Networks: The Kafue River Sub-Basin,"Chibanga, R. , Berlamont, J. & Vandewalle, J. (2003) Modelling and ...
This paper summarizes an extensive review on the applicability of Artificial Neural Networks (ANNs) in urban hydraulics and hydrology. The identified areas for ANN application include rainfall — runoff — sewer flows, snowmelt — runoff-sewer flows, stormwater and Combined Sewer Overflow quality model...
In this research, a new met... X Yao 被引量: 3089发表: 1999年 Artificial Neural Networks in Hydrology This paper forms the second part of the series on application of artificial neural networks (ANNs) in hydrology. The role of ANNs in various branches of hy... None - 《Journal of ...
Interactive comment on "Constraints of artificial neural networks for rainfall-runoff modelling: trade-offs in hydrological state representation and modelevaluation" by N. J. de Vos and T. H. M. Rientjes Hydrology & Earth System Sciences DiscussionsAnonymous...
Govindaraju RS (2000) Artificial neural networks in hydrology. II: hydrologic applications. J Hydrol Eng 5(2):124–137 ArticleGoogle Scholar Goyal MK (2014) Modeling of sediment yield prediction using M5 model tree algorithm and wavelet regression. Water Resour Manag 28(7):1991–2003 ...
artificial neural networkANNmulti-layer perceptronglobal forecast systemGFShydrologyCentral IndiaRainfall forecast has prime importance in an agrarian country like ... S Prakash,C Mahesh,RM Gairola,... - 《International Journal of Hydrology Science & Technology》 被引量: 14发表: 2012年 加载更多来源...