
Predicting Cation Exchange Capacity by Artificial Neural Network and Multiple Linear Regression Using Terrain and Soil Characteristics
Author(s) -
Asma Shabani,
Mojtaba Norouzi
Publication year - 2015
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2015/v8i28/83328
Subject(s) - topographic wetness index , terrain , soil science , pedotransfer function , digital elevation model , environmental science , soil water , cation exchange capacity , linear regression , artificial neural network , regression analysis , hydrology (agriculture) , geology , remote sensing , computer science , machine learning , geotechnical engineering , cartography , hydraulic conductivity , geography