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

• Published in: 国际泥沙研究（英文版） Vol. 48; no. 4; pp. 615 - 627
• Main Authors: Sanjeev Kumar, Chandra Shekhar Prasad Ojha, Nand Kumar Tiwari, Subodh Ranjan
• Format: Journal Article
• Language: English
• Published: Department of Civil Engineering,Indian Institute of Technology,Roorkee,247667,India%Department of Civil Engineering,National Institute of Technology,Kurukshetra,136119,India 2023
• Subjects: Vortex tube silt ejector; Random tree; Random forest; Support vector machine; Multivariate adaptive regression spline

A vortex tube silt ejector is a curative hydraulic structure used to remove sediment deposits from canals and is recognized as one of the most efficient substitutes for physically removing canal sediment.The spatially varied flow in the channel and the rotational flow behavior in the tube make the s...