Sedimentation Process and Its Assessment Through Integrated Sensor Networks and Machine Learning Process-Reference-Cited by-同舟云学术

Sedimentation Process and Its Assessment Through Integrated Sensor Networks and Machine Learning Process

Published:2018-05-23 Issue: Volume: Page:473-488
ISSN:1860-949X
Container-title:Computational Intelligence in Sensor Networks
language:
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Author:

Ghose Dillip K.,Samantaray Sandeep

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-57277-1_20

Reference17 articles.

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2. Adib, A., Mahmoodi, A.: Prediction of suspended sediment load using ANN GA conjunction model with Markov chain approach at flood conditions. KSCE J. Civ. Eng. 21(1), 447457 (2016)

3. Asselman, N.E.M.: Fitting and interpretation of sediment rating curves. J. Hydrol. 234(3–4), 228–248 (2000)

4. Aytek, A., Kisi, O.: A genetic programming approach to suspended sediment modelling. J. Hydrol. 351(3–4), 288–298 (2008)

5. Bouzeria, A.H., Ghenim, A.N., Khanchoul, K.: Using artificial neural network (ANN) for prediction of sediment loads, application to the Mellah catchment, northeast. J. Water Land Dev. 33(IVVI), 47–55 (2017)

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