Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia-Reference-Cited by-同舟云学术

Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia

Published:2020-01-09 Issue:16 Volume:24 Page:12079-12090
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Ghorbani Mohammad Ali,Deo Ravinesh C.,Kim Sungwon,Hasanpour Kashani Mahsa,Karimi Vahid,Izadkhah Maryam

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04648-2.pdf

Reference64 articles.

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3. Alok A, Patra KC, Das SK (2013) Prediction of discharge with Elman and cascade neural networks. Res J Recent Sci India 2:279–284

4. Alvisi S, Mascellani G, Franchini M, Bardossy A (2006) Water level forecasting through fuzzy logic and artificial neural network approaches. Hydrol Earth Syst Sci 10:1–17

5. Baiamonte G, Ferro V (2007) Simple flume for flow measurement in sloping open channel. J Irrig Drain Eng 133:71–78. https://doi.org/10.1061/(ASCE)0733-9437(2007)133:1(71)

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