DSpace Repository

3-Application of Artificial Neural Networks in Rainfall-Runoff Modelling.

Show simple item record

dc.contributor.author Jain, Sharad K.
dc.contributor.author Chalisgaonkar, Deepa
dc.date.accessioned 2022-04-27T16:44:38Z
dc.date.available 2022-04-27T16:44:38Z
dc.date.issued 2001
dc.identifier.uri http://117.252.14.250:8080/jspui/handle/123456789/6754
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher National Institute of Hydrology en_US
dc.subject Emerging Techniques in Water Resources en_US
dc.subject Artificial Neural Networks en_US
dc.subject Rainfall-Runoff Modelling en_US
dc.title 3-Application of Artificial Neural Networks in Rainfall-Runoff Modelling. en_US
dc.type Technical Report en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account