"Artificial Neural Networks for Event Based Rainfall-Runoff Modeling"
written by Archana Sarkar, Rakesh Kumar,
published by Journal of Water Resource and Protection, Vol.4 No.10, 2012
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] ANN-SCS-based hybrid model in conjunction with GCM to evaluate the impact of climate change on the flow scenario of the River Subansiri
2019
[2] A hybrid approach of artificial neural network and multiple regression to forecast typhoon rainfall and groundwater-level change
2019
[3] ASSESSMENT OF LAND USE/COVER CHANGE AND MANAGEMENT IMPACTS ON HYDROLOGY: THE CASE OF GADO CATCHMENT, ETHIOPIA
2019
[4] Bayesian network model for flood forecasting based on atmospheric ensemble forecasts
2019
[5] Efecto del cambio de uso del Suelo sobre la producción de agua y Sedimentos en la Subcuenca del rio Llallimayo-Melgar-Puno.
2019
[6] DEVELOPMENT OF AN INTEGRATED SPATIAL DISTRIBUTED TRAVEL TIME METHOD USING GIS TO MODEL RAINFALL RUNOFF IN BENTONG …
2018
[7] Flood Prediction In Nigeria Using Artificial Neural Network
2018
[8] Suitability of Neural Network Techniques for Rainfall-Runoff Modelling Over a River Basin: A Comprehensive Literature Review
2018
[9] Sustainability impacts of tidal river management: Towards a conceptual framework
Ecological Indicators, 2018
[10] Development of hybrid wavelet-ANN model for hourly flood stage forecasting
ISH Journal of Hydraulic Engineering, 2018
[11] Hydrological Analysis by Artificial Neural Network: A Review
2018
[12] MODELING OF TRIANGULAR UNIT HYDROGRAPHS USING AN ARTIFICIAL NEURAL NETWORK IN A TROPICAL RIVER BASIN
2018
[13] Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling
Sensors, 2018
[14] Performance of back-propagation neural network in chaotic data time series forecasting and evaluation over parametric forecast: a case study for rainfall-runoff …
International Journal of Information Technology, 2018
[15] Comparison of Three Intelligent Techniques for Runoff Simulation
2018
[16] GIS-based Methodology for Identification of Suitable Locations for Rainwater Harvesting Structures
Water Resources Management, 2018
[17] Water quality modelling using artificial neural network and multivariate statistical techniques
2018
[18] Event-based rainfall-runoff forecasting in Pampanga River Basin, Philippines using Artificial Neural Networks (ANN).
2017
[19] vorheriger Artikel Gene-Expression Programming for Short-Term Fore... nächster Artikel An Artificial Intelligence Approach for the Sto...
2017
[20] Modeling of Rainfall-Runoff Correlations Using Artificial Neural Network-A Case Study of Dharoi Watershed of a Sabarmati River Basin, India
2017
[21] Modelling and optimization of land use/land cover change in a developing urban catchment
2017
[22] Estimate of Suspended Sediment Concentration from Monitored Data of Turbidity and Water Level Using Artificial Neural Networks
Water Resources Management, 2017
[23] Impacto del cambio de uso del suelo en las áreas productoras de agua de la cuenca del Río Magdalena, cantón Cotacachi
2017
[24] River flow modeling using artificial neural networks in Kapuas river, West Kalimantan, Indonesia
AIP Conference Proceedings, 2017
[25] Determination of The Importance of Hydro-climate Parameters on Drying in Gavkhooni Wetland Using Artificial Neural Network and Remote Sensing Data
2016
[26] Modeling of Rainfall-Runoff relationship using Artificial Neural Networks
2016
[27] Characterizing and Understanding of the Hydrological System of Didesa Sub-Basin
2016
[28] Análisis del efecto laminador del cauce utilizando modelos fluviales bidimensionales
2016
[29] TECHNOLOGY (AAiT)
2016
[30] Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of Northern Iran
Journal of Hydrology, 2016
[31] Contribution of Women in Hydrological Research
International Journal of Research-Granthaalayah, ISSN, 2016
[32] Time Lagged Back Propagation Neural Network with Rainfall for Flood Forecasting
2016
[33] Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review
International Journal of Computer Applications, 2015
[34] AIR QUALITY PATTERN ASSESSMENT IN MALAYSIA USING MULTIVARIATE TECHNIQUES
Malaysian Journal of Analytical Sciences, 2015
[35] Impact of land use change on hydrological systems: A review of current modeling approaches
Cogent Geoscience, 2015
[36] An Efficient Approach of Artificial Neural Network in Runoff Forecasting
International Journal of Computer Applications, 2014
[37] Estimación del hidrograma de salida en una cuenca usando un modelo hidrológico distribuido y un modelo hidráulico bidimensional en volúmenes finitos
2014
[38] A neuro-fuzzy model to predict the inflow to the guardialfiera multipurpose dam (Southern Italy) at medium-long time scales
Journal of Agricultural Engineering, 2013