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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
STUDY OF PERFORMANCE OF DAILY RAINFALL- RUNOFF MODEL USING NEURAL NETWORKS
Authors
Dr.C.S.V.Subrahmanya Kumar, Dr.G.K.Viswanadh
Keywords
Rainfall, Runoff, Neural Networks
Abstract
Rainfall-runoff models are used to describe the hydrological behavior of a catchment. The relationship between rainfall and runoff is known to be highly non- linear, time varying and spatially distributed. This study presents the application of Artificial Neural Networks to model daily rainfall- runoff for Osmansagar catchment, Hyderabad, India using Levenberg- Marquardt back propagation algorithm. To study the performance of the model developed, various statistical performance indices namely correlation coefficient, normalised root mean square error, coefficient of efficiency, average absolute relative error and threshold statistic are computed during training and testing phases. The results indicate that ANN can effectively be used to model daily rainfall- runoff process
IJCRT's Publication Details
Unique Identification Number - IJCRT1802315
Paper ID - 182290
Page Number(s) - 2393-2402
Pubished in - Volume 5 | Issue 1 | February 2017
DOI (Digital Object Identifier) - http://doi.one/10.1729/IJCRT.17698
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr.C.S.V.Subrahmanya Kumar, Dr.G.K.Viswanadh, "STUDY OF PERFORMANCE OF DAILY RAINFALL- RUNOFF MODEL USING NEURAL NETWORKS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 1, pp.2393-2402, February 2017 , Available at :http://www.ijcrt.org/papers/IJCRT1802315.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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