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Cím: Evaluation of time series models in simulating different monthly scales of drought index for improving their forecast accuracy
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Drought is regarded as one of the most intangible and creeping natural disasters, which occurs in almost all climates, and its characteristics vary from region to region. The present study aims to investigate the effect ...
Cím: Feasibility of Random Forest and Multivariate Adaptive Regression Splines for Predicting Long-Term Mean Monthly Dew Point Temperature
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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
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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 ...