Comparative analysis of artificial intelligence techniques for the prediction of infiltration process-Reference-Cited by-同舟云学术

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Comparative analysis of artificial intelligence techniques for the prediction of infiltration process

Published:2020-11-02 Issue:2 Volume:5 Page:109-118
ISSN:2474-9508
Container-title:Geology, Ecology, and Landscapes
language:en
Short-container-title:Geology, Ecology, and Landscapes

Author:

Singh Balraj¹^ORCID,Sihag Parveen²^ORCID,Parsaie Abbas³,Angelaki Anastasia⁴

Affiliation:

1. Civil Engineering Department, Panipat Institute of Engineering and Technology, Panipat, India

2. Civil Engineering Department, Shoolini University, Solan, India

3. Hydro-Structure Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran

4. Department of Agriculture Crop Production and Rural Environment, University of Thessaly, Volos, Greece

Publisher

Informa UK Limited

Subject

Nature and Landscape Conservation,Geology,Ecology

Link

https://www.tandfonline.com/doi/pdf/10.1080/24749508.2020.1833641

Reference33 articles.

1. A low-cost INS/GPS integration methodology based on random forest regression

2. Theoretical and Experimental Research of Cumulative Infiltration

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

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