Comparison of Stepwise Multilinear Regressions, Artificial Neural Network, and Genetic Algorithm-Based Neural Network for Prediction the Plant Available Water of Unsaturated Soils in a Semi-arid Region of Iran (Case Study: Chaharmahal Bakhtiari Province)-Reference-Cited by-同舟云学术

Comparison of Stepwise Multilinear Regressions, Artificial Neural Network, and Genetic Algorithm-Based Neural Network for Prediction the Plant Available Water of Unsaturated Soils in a Semi-arid Region of Iran (Case Study: Chaharmahal Bakhtiari Province)

Published:2020-09-24 Issue:17 Volume:51 Page:2297-2309
ISSN:0010-3624
Container-title:Communications in Soil Science and Plant Analysis
language:en
Short-container-title:Communications in Soil Science and Plant Analysis

Author:

Soleimani Reihaneh¹,Chavoshi Elham¹^ORCID,Shirani Hossein²,Esfandiar Pour Isa²

Affiliation:

1. Department of Soil Science, Collage of Agriculture, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

2. Department of Soil Science, Collage of Agriculture, Vali-e-Asr University of Rafsanjan, Kerman, Iran

Funder

Islamic Azad University Isfahan (Khorasgan) Branch

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/00103624.2020.1822385

Reference50 articles.

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4. Estimating the amount of cadmium and lead in the polluted soil using artificial intelligence models

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