Prediction of Sedimentation in a Watershed Using RNN and SVM-Reference-Cited by-同舟云学术

Prediction of Sedimentation in a Watershed Using RNN and SVM

Published:2020-10-04 Issue: Volume: Page:701-708
ISSN:2367-3370
Container-title:Communication Software and Networks
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Author:

Sahoo Abinash,Barik Ajit,Samantaray Sandeep,Ghose Dillip K.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5397-4_71

Reference18 articles.

1. Lafdani EK, Nia AM, AhmadI A (2013) Daily suspended sediment load prediction using artificial neural networks and support vector machines. J Hydrol 478:50–62

2. Cimen M (2008) Estimation of daily suspended sediments using support vector machines. Hydrological Sciences–Journal–des Sciences Hydrologiques 53(3):655–666

3. Kisi O (2012) Modeling discharge-suspended sediment relationship using least square support vector machine. J Hydrol 456–457:110–120

4. Misra D, Oommen T, Agarwal A, Mishra SK, Thompson AM (2009) Application and analysis of support vector machine based simulation for runoff and sediment yield. Biosyst Eng 103:527–535

5. Jain SK (2012) Modeling river stage-discharge-sediment rating relation using support vector regression. Hydrol Res 43(6):851–861

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