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1 találatból megjelenítve: 1-3
Cím: Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed
Szerző: ; ; ; ; ;
Dátum: 2022
Feltöltve: 2022-04-11
(Elsevier Ltd, 2022)
Estimating wind energy plays an important role in energy science as it can be considered a crucial source of renewable and sustainable energy. In this study, five types of soft computing approaches were implemented to ...
Cím: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature
Szerző: ; ; ; ; ;
Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Results: As a result, the GSVMA hybrid method performs better than other methods. This proposed method has the highest accuracy of 89.45% through a 10-fold crossvalidation technique with 31 selected features on the Z-Alizadeh ...
Cím: Novel approach for estimation of sediment load in dam reservoir with hybrid intelligent algorithms
Szerző: ; ; ; ; ; ; ;
Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Methods: Hence, this paper provides a new hybrid machine learning model called genetic support vector machine and analysis of variance (GSVMA). The analysis of variance (ANOVA) is known as the kernel function for the SVM ...