Estimation of Saturation Percentage of Soil Using Multiple Regression, ANN, and ANFIS Techniques
نویسندگان
چکیده
منابع مشابه
Estimation of Saturation Percentage of Soil Using Multiple Regression, ANN, and ANFIS Techniques
The saturation percentage (SP) of soils is an important index in hydrological studies. In this paper, artificial neural networks (ANNs), multiple regression (MR), and adaptive neural-based fuzzy inference system (ANFIS) were used for estimation of saturation percentage of soils collected from Boukan region in the northwestern part of Iran. Percent clay, silt, sand and organic carbon (OC) were u...
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Common methods to determine the soil infiltration need extensive time and are expensive. However, the existence of non-linear behaviors in soil infiltration makes it difficult to be modeled. With regards to the difficulties of direct measurement of soil infiltration, the use of indirect methods toestimate this parameter has received attention in recent years. Despite the existence of various th...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2009
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v2n3p127