A COMPARISON OF SOFT COMPUTING VS. REGRESSION TECHNIQUES TO CALIBRATE ELECTROMAGNETIC INDUCTION (ARDAKAN REGION)

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ROUSTA MOHAMMAD JAVAD; TAGHIZADEH MEHRJARDI RUHOLLAH; SARMADIAN FEREYDOUN; RAHIMIAN MOHAMMAD HASAN

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Journal: Iranian Journal of Soil and Water Research Year:2014 | Volume:45 | Issue:1 Page(s): 55-65

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Title

A COMPARISON OF SOFT COMPUTING VS. REGRESSION TECHNIQUES TO CALIBRATE ELECTROMAGNETIC INDUCTION (ARDAKAN REGION)

Author(s)

ROUSTA MOHAMMAD JAVAD | TAGHIZADEH MEHRJARDI RUHOLLAH | SARMADIAN FEREYDOUN | RAHIMIAN MOHAMMAD HASAN | Issue Writer Certificate

Keywords

APPARENT ELECTRICAL CONDUCTIVITYQ2

MODELINGQ2

SOIL SALINITYQ2

Abstract

various methods have so far been applied to calibrate electromagnetic induction data. Throughout the present research, Multi-Linear Regression (MLR) as well as artificial intelligence techniques (i.e. ANFIS, GA, ANNs) were applied to calibrate the APPARENT ELECTRICAL CONDUCTIVITY (ECa)- measured using an electromagnetic induction instrument and Electrical Conductivity (ECe)- as measured in saturation paste. A number of 600 soil samples were collected from Ardakan (Central Iran), divided into two subsets for calibration (80%) and testing (20%) of the models. To evaluate models, some such evaluation parameters as root mean square, average error, and coefficient of determination were applied. Results indicated that ANFIS model yields a more accurate estimate than the other techniques where this model increased accuracy of predictions for about 9, 9, 5 and 2% for EC15, EC30, EC60, and EC100, respectively. Higher performance of ANFIS to predict SOIL SALINITY might be because of somehow compensation for the uncertainties. Following ANFIS model, GA and ANN resulted in better accuracies in comparison with multivariate regression. As a whole, results indicated that artificial intelligence methods were of a higher performance than the regression techniques in calibrating electromagnetic induction data.

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APA: Copy

ROUSTA, MOHAMMAD JAVAD, TAGHIZADEH MEHRJARDI, RUHOLLAH, SARMADIAN, FEREYDOUN, & RAHIMIAN, MOHAMMAD HASAN. (2014). A COMPARISON OF SOFT COMPUTING VS. REGRESSION TECHNIQUES TO CALIBRATE ELECTROMAGNETIC INDUCTION (ARDAKAN REGION). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 45(1), 55-65. SID. https://sid.ir/paper/225949/en

Vancouver: Copy

ROUSTA MOHAMMAD JAVAD, TAGHIZADEH MEHRJARDI RUHOLLAH, SARMADIAN FEREYDOUN, RAHIMIAN MOHAMMAD HASAN. A COMPARISON OF SOFT COMPUTING VS. REGRESSION TECHNIQUES TO CALIBRATE ELECTROMAGNETIC INDUCTION (ARDAKAN REGION). IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2014;45(1):55-65. Available from: https://sid.ir/paper/225949/en

IEEE: Copy

MOHAMMAD JAVAD ROUSTA, RUHOLLAH TAGHIZADEH MEHRJARDI, FEREYDOUN SARMADIAN, and MOHAMMAD HASAN RAHIMIAN, “A COMPARISON OF SOFT COMPUTING VS. REGRESSION TECHNIQUES TO CALIBRATE ELECTROMAGNETIC INDUCTION (ARDAKAN REGION),” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 45, no. 1, pp. 55–65, 2014, [Online]. Available: https://sid.ir/paper/225949/en

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