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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 |
Files in This Item:
File | Description | Size | Format | |
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3-Application of Artificial Neural Networks in Rainfall-Runoff Modelling..pdf | 12.41 MB | Adobe PDF | View/Open |
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