Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/6754
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dc.contributor.authorJain, Sharad K.-
dc.contributor.authorChalisgaonkar, Deepa-
dc.date.accessioned2022-04-27T16:44:38Z-
dc.date.available2022-04-27T16:44:38Z-
dc.date.issued2001-
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/6754-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherNational Institute of Hydrologyen_US
dc.subjectEmerging Techniques in Water Resourcesen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectRainfall-Runoff Modellingen_US
dc.title3-Application of Artificial Neural Networks in Rainfall-Runoff Modelling.en_US
dc.typeTechnical Reporten_US
Appears in Collections:21-Jal Vigyan Sameeksha Vol.-16(1-2)-2001

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