Exploring the potential of artificial intelligence techniques in prediction of the removal efficiency of vortex tube silt ejector-Reference-Cited by-同舟云学术

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Exploring the potential of artificial intelligence techniques in prediction of the removal efficiency of vortex tube silt ejector

Published:2023-08 Issue:4 Volume:38 Page:615-627
ISSN:1001-6279
Container-title:International Journal of Sediment Research
language:en
Short-container-title:International Journal of Sediment Research

Author:

Kumar Sanjeev,Prasad Ojha Chandra Shekhar,Tiwari Nand Kumar,Ranjan Subodh

Publisher

Elsevier BV

Subject

Stratigraphy,Geology

Reference60 articles.

1. Final recommendation from experiments of silt ejector of DG Kahn canal;Ahmed;Hydraulic Research, International Association for Hydraulic Research,1958

2. Random forests and decision trees;Ali;International Journal of Computer Science Issues,2012

3. Sediment removal efficiency of vortex chamber type sediment extractor;Athar;Journal of Hydraulic Engineering,2002

4. Distribution of sediment concentration in the vortex chamber type sediment extractor;Athar;Journal of Hydraulic Research,2003

5. Vortex-tube sediment extractors. I: Trapping efficiency;Atkinson;Journal of Hydraulic Engineering,1994

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