Abstract:
The main purpose of the current research is comparing the results of Artificial Neural Network (ANN) with
Adaptive Neuro-Fuzzy Inference System (ANFIS) with regard to determination of the importance of soil properties
affecting clay dispersibility. After taking samples from two depths of 0-40 and 40-80 cm, the spontaneous and
mechanical dispersions of clay were recorded using both weighing and turbidimetric methods. To determine the
degree of importance of soil properties affecting clay dispersibility, first ANNs and ANFIS in MATLAB Software
were determined, using all research variables. After determining less effective properties and omitting them, the
mentioned networks with the remaining variables including percentage of clay and sand, soil reaction, Electrical
Conductivity (EC) and Sodium Adsorption Ratio (SAR) were measured and the degree of importance of each
variable in clay dispersibility was determined. Finally, the results of ANNs and ANFIS were compared by calculation
of validation parameters. Existence of high correlation between calculated values for weighing and turbidimetric
methods showed a linear relationship between the two methods. In general, in both depths and for both weighing and
turbidimetric methods, the sensitivity of clay dispersibility to the percentage of the clay, sand and SAR, was higher
than any other variable. Although the results obtained from the validation statistics indicate high accuracy of both
ANN and ANFIS models, the last model showed relatively better results as compared to ANN model.
Machine summary:
Shirania a Faculty of Agriculture, Vali-e-Asr University of Rafsanjan, Rafsanjan, Kerman, Iran Received: 19 November 2016; Received in revised form: 4 February 2017; Accepted: 30 February 2017 Abstract The main purpose of the current research is comparing the results of Artificial Neural Network (ANN) with Adaptive Neuro-Fuzzy Inference System (ANFIS) with regard to determination of the importance of soil properties affecting clay dispersibility.
After determining less effective properties and omitting them, the mentioned networks with the remaining variables including percentage of clay and sand, soil reaction, Electrical Conductivity (EC) and Sodium Adsorption Ratio (SAR) were measured and the degree of importance of each variable in clay dispersibility was determined.
The importance of ANN’s and ANFIS’s input variables on the percentage of spontaneous and mechanical dispersible clays using weighing and turbidimetric methods at depths of 0-40 and 40-80 cm رجوع شود به تصویر صفحهA S-W: Spontaneous-Weighing; S-T: Spontaneous-Turbidimetric; M-W: Mechanical-Weighing; M-T: Mechanical-Turbidimetric B Electrical conductivity C Sodium adsorption ratio The use of organic fertilizers (in the form of 40-50 cm fertilizer pits) in pistachio orchards in the region under study (Alipour and Hosseinifard, 2006) has caused the clay particles to have a less effective role than other variables in the first depth and in the spontaneous method; because organic materials play an important role in the stability of soil structure and soil aggregates (Tisadle and Oades, 1982; Emerson, 1983; During and Chaney, 1984; Goldberg et al.