Estimation of models for cumulative infiltration of soil using machine learning methods-Reference-Cited by-同舟云学术

Estimation of models for cumulative infiltration of soil using machine learning methods

Published:2018-10-29 Issue:2 Volume:27 Page:162-169
ISSN:0971-5010
Container-title:ISH Journal of Hydraulic Engineering
language:en
Short-container-title:ISH Journal of Hydraulic Engineering

Author:

Angelaki Anastasia¹,Singh Nain Somvir²,Singh Varun³,Sihag Parveen³^ORCID

Affiliation:

1. Laboratory of Agricultural Hydraulics, Department of Agriculture, Crop Production & Rural Environment, University of Thessaly, Volos, Greece

2. Centre for Materials and Manufacturing, Department of Mechanical Engineering, CMR College of Engineering & Technology, Kandlakoya, Hyderabad, Telangana, INDIA

3. Civil Engineering Department, National Institute of Technology, Kurukshetra, India

Funder

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Water Science and Technology,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/09715010.2018.1531274

Reference56 articles.

1. Prediction of side weir discharge coefficient by support vector machine technique

2. Comparison of infiltration models to simulate flood events at the field scale

3. Support-vector networks

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