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A comparative assessment between artificial neural network, neuro-fuzzy, and support vector machine models in splash erosion modelling under simulation circumstances Cover

A comparative assessment between artificial neural network, neuro-fuzzy, and support vector machine models in splash erosion modelling under simulation circumstances

Folia Oecologica
Volume 49 (2022): Issue 1 (January 2022)
By: Mahdi Boroughani,  Somayeh Soltani,  Nafiseh Ghezelseflu and  Iman Pazhouhan  
Open Access
|Dec 2021

Authors

Mahdi Boroughani

Center for Geosciences and Social Studies, Hakim Sabzevari University, Sabzevar

Somayeh Soltani

Department of Water Sciences and Engineering, College of Agricultural and Natural Resources, Ardakan University, Ardakan

Nafiseh Ghezelseflu

Department of Watershed Management, Ardakan University, Ardakan

Iman Pazhouhan

imanpazhouhan@gmail.com

Nature Engineering Department, Faculty of Natural Resource and Environment, Malayer University, Malayer
DOI: https://doi.org/10.2478/foecol-2022-0003 | Journal eISSN: 1338-7014 | Journal ISSN: 1336-5266
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Language: English
Page range: 23 - 34
Submitted on: Apr 24, 2021
Accepted on: Oct 12, 2021
Published on: Dec 30, 2021
Published by: Slovak Academy of Sciences, Institute of Forest Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
ANN,
ANFIS,
rainfall simulator,
sediment load,
soil particles,
SVM
Related subjects:
Life sciences,
Life sciences, other,
Plant science,
Zoology,
Ecology

© 2021 Mahdi Boroughani, Somayeh Soltani, Nafiseh Ghezelseflu, Iman Pazhouhan, published by Slovak Academy of Sciences, Institute of Forest Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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