Konu "Forecasting" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
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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, ... -
Meta fuzzy functions: Application of recurrent type-1 fuzzy functions
(2018-12)The main objective of meta-analysis is to aggregate the results of multiple scientific studies on a specific topic. Instead of aggregating the results of different studies, different methods are aggregated with the help ... -
A mobile simulation and ARIMA modeling for prediction of air radiation dose rates
(Springer, 2021)A spatial simulation method in.mp4 format was proposed to determine Fukushima radioactive fallout transport and the Absorbed Dose Rate, Annual Effective Dose Equivalent, and Excess Lifetime Cancer Risk were determined for ... -
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 ... -
Recurrent Type-1 Fuzzy Functions Approach for Time Series Forecasting
(2017-05-17)Forecasting the future values of a time series is a common research topic and is studied using probabilistic and non-probabilistic methods. For probabilistic methods, the autoregressive integrated moving average and ... -
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 ... -
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 ...