Models performance in predicting least limiting water range in northwest of Iran under semiarid and semi-humid climates

Performance of artificial neural networks (ANNs), multi-objective group method of data handling (mGMDH) and multivariate linear regression (MLR) was compared for estimating least limiting water range (LLWR). Eleven soil attributes of 188 soil samples (Inceptisols) were used as independent variables...

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Veröffentlicht in:	International journal of environmental science and technology (Tehran) 2022-09, Vol.19 (9), p.8231-8242
Hauptverfasser:	Kazemi, Z., Neyshabouri, M. R., Bayat, H., Asgari Lajayer, B., van Hullebusch, E. D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic Pollution Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Science and Engineering Environmental Sciences Original Paper Soil Science & Conservation Waste Water Technology Water Management Water Pollution Control
Online-Zugang:	Volltext
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