Application of ANFIS-based subtractive clustering algorithm in soil Cation Exchange Capacity estimation using soil and remotely sensed data

•The conventional procedures for soil Cation Exchange Capacity (CEC) measurement are time consuming.•MR and ANFIS models were employed to predict the soil CEC based on clay, organic carbon (OC) and Band 3 inputs.•The results revealed that the ANFIS model had the ability to estimate soil CEC by compu...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 95; S. 173 - 180
Hauptverfasser:	Keshavarzi, Ali, Sarmadian, Fereydoon, Shiri, Jalal, Iqbal, Munawar, Tirado-Corbalá, Rebecca, Omran, El-Sayed Ewis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Elsevier Ltd 01.01.2017 Elsevier Science Ltd
Schlagworte:	Adaptive systems Algorithms ANFIS Artificial neural networks Cation exchanging Clustering Computer simulation Fuzzy logic Fuzzy sets Fuzzy systems Ion exchange Multi variable linear regression Regression analysis Regression models Remote sensing Reproducibility Sensitivity analysis Soil Cation Exchange Capacity Soil investigations Soil properties Soils Subtractive clustering Soil Cation Exchange Capacity Multi variable linear regression ANFIS Subtractive clustering Soil properties
ISSN:	0263-2241, 1873-412X
Online-Zugang:	Volltext
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