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https://hdl.handle.net/2440/58435
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DC Field | Value | Language |
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dc.contributor.author | Jain, A. | - |
dc.contributor.author | Maier, H. | - |
dc.contributor.author | Dandy, G. | - |
dc.contributor.author | Sudheer, K. | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | ISH Journal of Hydraulic Engineering, 2009; 15(1):52-74 | - |
dc.identifier.issn | 0971-5010 | - |
dc.identifier.issn | 2164-3040 | - |
dc.identifier.uri | http://hdl.handle.net/2440/58435 | - |
dc.description.abstract | Modeling of rainfall runoff (R-R) processes is useful in many water resources management activities. Traditionally, hydrologists have employed deterministic/conceptual methods for R-R modeling. Recently, Artificial Neural Networks (ANNs) have become popular tools for R-R modeling. This paper reviews the literature on and presents state-of-the-art approaches to ANN R-R modeling. Certain aspects of ANN R-R modeling have been covered in greater detail. These include input selection, data division, ANN training, hybrid modeling, and extrapolation beyond the range of training data. There is a strong need to carry out extensive research on these aspects while developing ANN R-R models. © 2009 Taylor & Francis Group, LLC. | - |
dc.description.statementofresponsibility | Ashu Jain, Holger R. Maier, G.C. Dandy and K.P. Sudheer | - |
dc.description.uri | http://www.e-ish.net/JOURNALS/jMay09_special.htm | - |
dc.language.iso | en | - |
dc.publisher | The Indian Society for Hydraulics | - |
dc.rights | Copyright status unknown | - |
dc.source.uri | http://dx.doi.org/10.1080/09715010.2009.10514968 | - |
dc.title | Rainfall runoff modelling using neural networks: state-of-the-art and future research needs | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1080/09715010.2009.10514968 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Maier, H. [0000-0002-0277-6887] | - |
dc.identifier.orcid | Dandy, G. [0000-0001-5846-7365] | - |
Appears in Collections: | Aurora harvest 5 Civil and Environmental Engineering publications Environment Institute publications |
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