Predicting Saturated Hydraulic Conductivity by Artificial Intelligence and Regression Models
نویسندگان
چکیده
منابع مشابه
Scaling and Fractal Concepts in Saturated Hydraulic Conductivity: Comparison of Some Models
Measurement of soil saturated hydraulic conductivity, Ks, is normally affected by flow patterns such as macro pore; however, most current techniques do not differentiate flow types, causing major problems in describing water and chemical flows within the soil matrix. This study compares eight models for scaling Ks and predicted matrix and macro pore Ks, using a database composed of 50 datasets...
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abstract saturated hydraulic conductivity (ks) is needed for many studies related to water and solute transport, but often cannot be measured because of practical and/or cost-related reasons. nonparametric approaches are being used in various fields to estimate continuous variables. one type of the nonparametric lazy learning algorithms, a k-nearest neighbor (k-nn) algorithm, was introduced and...
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ژورنال
عنوان ژورنال: ISRN Soil Science
سال: 2013
ISSN: 2090-875X
DOI: 10.1155/2013/308159