Assessment of Regression, Support Vector Machine, and Gene Expression Programming Transfer Functions to Predict Soil Humidity Parameters in Arasbaran Plain

Assessment of Regression, Support Vector Machine, and Gene Expression Programming Transfer Functions to Predict Soil Humidity Parameters in Arasbaran Plain

Using transfer functions to predict soil moisture parameters has been considered strictly a scientific and economical method among researchers. In this research, field capacity (FC) and permanent wilting point (PWP) of soil were predicted using classic regression (linear and non-linear), support vec...

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Bibliographic Details
Main Authors: F. Ahmadzadeh Kaleibar, M. Fuladipanah
Format: Article
Language:fas
Published: Isfahan University of Technology 2023-09-01
Series:علوم آب و خاک
Subjects:
gama test
intelligent algorithm
meta heuristic model
performance assessment
filed capacity
permanent wilting point
Online Access:http://jstnar.iut.ac.ir/article-1-4304-en.pdf

Internet

http://jstnar.iut.ac.ir/article-1-4304-en.pdf

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