Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Eren Bas"'
Publikováno v:
Forecasting, Vol 3, Iss 4, Pp 839-849 (2021)
Exponential smoothing methods are one of the classical time series forecasting methods. It is well known that exponential smoothing methods are powerful forecasting methods. In these methods, exponential smoothing parameters are fixed on time, and th
Externí odkaz:
https://doaj.org/article/431c4ca24da344c2b68cf0a5df37e556
Autor:
Ufuk Yolcu, Eren Bas
Publikováno v:
Comparative Economic Research, Vol 19, Iss 2, Pp 5-25 (2016)
Fuzzy time series methods based on the fuzzy set theory proposed by Zadeh (1965) was first introduced by Song and Chissom (1993). Since fuzzy time series methods do not have the assumptions that traditional time series do and have effective forecasti
Externí odkaz:
https://doaj.org/article/d043d751343e4367beee101e14f6cc70
Publikováno v:
Information Sciences. 629:398-412
Publikováno v:
Big Data. 11:105-116
Artificial neural networks (ANNs) have been frequently used in forecasting problems in recent years. One of the most popular types of ANNs in these days is Pi-Sigma artificial neural networks (PS-ANNs). PS-ANNs have a high order ANN structure and the
Publikováno v:
Ege Journal of Fisheries and Aquatic Sciences. 39:311-315
The increase of the world population, especially in the global competition, together with the increasing use of fossil fuel resources to meet energy needs, leads to more greenhouse gases (more than one CO2, methane etc.) emissions and the global clim
Autor:
Eren Bas
Publikováno v:
Information Sciences. 613:419-434
Autor:
Erol Egrioglu, Eren Bas
Publikováno v:
Neural Computing and Applications. 35:2855-2865
Publikováno v:
Granular Computing. 8:491-501
Publikováno v:
Granular Computing. 8:391-396
Autor:
Erol Egrioglu, Eren Bas
Deep artificial neural networks have become a good alternative to classical forecasting methods in solving forecasting problems. Popular deep neural networks classically use additive aggregation functions in their cell structures. It is available in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03030c737e0ddc37b9e0f699b64b6f01
https://doi.org/10.21203/rs.3.rs-2913556/v1
https://doi.org/10.21203/rs.3.rs-2913556/v1