Figures & data
Figure 1. Location of Bazoft watershed in south western of Iran (31° 37′ to 32° 39′ N and 49° 34′ to 50° 32′ E).
Figure 2. The reasoning scheme of an ANFIS model (Sobhani et al. Citation2010).
Figure 3. A basic adaptive neuro-fuzzy inference system (ANFIS) network architecture (Sobhani et al. 2010).
Figure 4. The schematic of adaptive neuro-fuzzy inference system (ANFIS) architecture based on Sugeno fuzzy model developed in the current study. SOM, soil organic matter content; Clay, clay content; FS, fine sand content; CCE, calcium carbonate equivalent content; NDVI, normalized difference vegetation index; SSSS, surface soil shear strength; and MFs, membership functions.
Table 1. Summary statistics of soil properties and vegetation index used in modeling of soil shear strength
Figure 5. Comparison of the normalized predicted and the measured surface soil shear strength (SSSS) values for the testing data set of the multiple-linear regression (MLR) model.
Table 2. Goodness-of-fit of the proposed MLR, ANN, and ANFIS models for soil shear strength prediction
Figure 6. Comparison of the normalized predicted and the measured surface soil shear strength (SSSS) values for the testing data set of the artificial neural network (ANN) model.
Figure 7. Comparison of the normalized predicted and the measured surface soil shear strength (SSSS) values for the testing data set of the adaptive neuro-fuzzy inference system (ANFIS) model.
