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نمایش تعداد 1-5 از 5
LS-SVM and FCM assessment approach in estimation of pipeline scouring on a river bed
have been determined from an analysis of the least square support vector machine (LS SVM) and Fuzzy C-mean system (FCM). Finding the best data input combinations using Gamma Test (GT) was done. It was very clear from model identification in GT that four...
Determining the effective parameters and their optimal combination in rill erosion modeling
length and degree of slope have been measured. Surface area of rills has been calculated by measuring width and depth of each rill and their geometric sections. Gamma test has been applied in order to find optimal combination of input parameters. Whereas...
Determining the effective Parameters and their Optimal Combination in Order to Model the Rill Erosion
, including canopy cover, ground cover, gravel, sand, silt, clay, slope and its common effect on length have been measured. By measuring, widths and depth of any rill and their geometric section, surface area of rills have been calculated. Gamma test has been...
Forecasting Seasonal and Annual Rainfall Based on Nonlinear Modeling with Gamma Test in North of Iran
mathematical techniques are available for use, basic concerns remain unsolved such as simplicity, high accuracy, real time use in many stations of a region, and the low availability of inputs. In this study, a nonlinear modeling with Gamma Test (GT) has been...
Forecasting natural gas spot prices with nonlinear modeling using Gamma test analysis
the likely input combinations. In addition, there is no guidance about how many data points should be used in the calibration and what
accuracy the best model is able to achieve. In this study, the Gamma test has been used for the first time as a...