Discussion of “Evapotranspiration modelling using support vector machines”-Reference-Cited by-同舟云学术

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Discussion of “Evapotranspiration modelling using support vector machines”

Published:2010-11-29 Issue:8 Volume:55 Page:1442-1450
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Abrahart Robert J.¹,Dawson Christian W.²,See Linda M.³,Mount Nick J.¹,Shamseldin Asaad Y.⁴

Affiliation:

1. a School of Geography, University of Nottingham , Nottingham, NG7 2RD, UK

2. b Department of Computer Science , Loughborough University , Loughborough, LE11 3TU, UK

3. c School of Geography, University of Leeds , Leeds, LS2 9JT, UK

4. d Department of Civil and Environmental Engineering , University of Auckland, Private Bag , 92019, Auckland, New Zealand

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2010.529448

Reference15 articles.

1. DISCUSSION of “An explicit neural network formulation for evapotranspiration”

2. Neural network modelling of non-linear hydrological relationships

3. Neural Network Hydroinformatics: Maintaining Scientific Rigour

4. Discussion of “Generalized regression neural networks for evapotranspiration modelling”

5. Comment on ‘Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique.Hydrological Processes21: 1925–1934’

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