Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/6754
Title: 3-Application of Artificial Neural Networks in Rainfall-Runoff Modelling.
Authors: Jain, Sharad K.
Chalisgaonkar, Deepa
Keywords: Emerging Techniques in Water Resources
Artificial Neural Networks
Rainfall-Runoff Modelling
Issue Date: 2001
Publisher: National Institute of Hydrology
Abstract: The design, analysis and management of the water resources systems, involves modelling and prediction of the behavior of complex systems. The Artificial Neural Network (ANN) can be used in a large variety of problems, e.g. mapping, dynamic process modelling, optimisation, image processing, data analysis, forecasting, simulation, function approximation etc. Due to the distributed nature of ANNs, destruction of a few nodes or presence of some inconsistent data does not adversely affect the performance of ANNs. An ANN model was applied to rainfall-runoff simulation of an Indian catchment. Hourly rainfall, discharge and potential evaporation data were used The results show acceptable match between the observed and computed discharges.
URI: http://117.252.14.250:8080/jspui/handle/123456789/6754
Appears in Collections:21-Jal Vigyan Sameeksha Vol.-16(1-2)-2001

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