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Toplam kayıt 4, listelenen: 1-4
Long term wind speed estimation for a randomly selected time interval by using artificial neural networks, Amasra, Turkey
(Sila Science, 2012)
In this study, a new ANN estimation model has been developed in order to estimate wind speed in the long term. The data used in the model developed for this study was provided from the wind station in the province of Amasra, ...
Monte Carlo simulations and forecasting of Radium-226, Thorium-232, and Potassium-40 radioactivity concentrations
(Springer, 2020)
This study depicts the radioactivity time series levels of Ra-226, Th-232, and K-40 prospectively by Monte Carlo simulations (MCSs). Three ARIMA stationary stochastic processes are used with measurement records statistical ...
Type-1 recurrent intuitionistic fuzzy functions for forecasting
(Pergamon-Elsevier Science Ltd, 2020)
In this study, a novel forecasting method that employs intuitionistic fuzzy c-means clustering and a grey wolf optimizer in recurrent type-1 fuzzy functions (R-T1FFs) is introduced. R-T1FFs, which adapt to the moving average ...
Type-1 possibilistic fuzzy forecasting functions
(Elsevier, 2020)
Type-1 Fuzzy Functions (T1FFs) were developed by Turksen as an alternative fuzzy inference system (FIS) and have been commonly used in forecasting problems. The main advantages of T1FFs are that they are free of rules and ...