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ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations
(Elsevier Ltd, 2017)
Within classic time series approaches, a time series model can be studied under 3 groups, namely AR (autoregressive model), MA (moving averages model) and ARMA (autoregressive moving averages model). On the other hand, ...
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network
(Springer, 2020)
As it known in many studies, the fuzzy time series methods do not need assumptions such as stationary and the linearity required for classical time series approaches, so there is a huge field of study on fuzzy time series ...