Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Faruk ALPASLAN"'
Autor:
Ozge Cagcag Yolcu, Faruk Alpaslan
WOS: 000430162100002 All fuzzy time series approaches proposed in the literature consider three steps constituting the solution process as separate processes. Thus, model error is the sum of the errors that may occur in each step. In this regard, syn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f5d4ad994d959c4cff7eded1748a317
https://hdl.handle.net/20.500.12697/3527
https://hdl.handle.net/20.500.12697/3527
Publikováno v:
American Journal of Intelligent Systems. 2:21-25
In recent years, artificial neural networks have being successfully used in time series analysis. Using linear methods such as ARIMA and exponential smoothing for non linear time series cannot produce satisfactory results. Although there are various
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05114e67bd449f3ed595fffacedb64f0
https://doi.org/10.5923/j.ajis.20120203.02
https://doi.org/10.5923/j.ajis.20120203.02
Autor:
Faruk ALPASLAN, Ozge CAGCAG
Publikováno v:
Journal of Social and Economic Statistics. 1(2):1-13
Fuzzy time series forecasting methods do not require constraints found in conventional approaches. In addition, due to uncertainty that they contain, many time series to be forecasted should be considered as fuzzy time series. Fuzzy time series forec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::e498abbaaffae2fd785fca1d880b7b9a
http://jses.ase.ro/downloads/current_issue/121.alpaslan.pdf
http://jses.ase.ro/downloads/current_issue/121.alpaslan.pdf
Publikováno v:
Volume: 14, Issue: 3 315-328
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering, Vol 14, Iss 3, Pp 315-328 (2015)
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering, Vol 14, Iss 3, Pp 315-328 (2015)
In the literature, artificial neural networks have been frequently used for the problem of time series forecasting. There are many types of artificial neural networks in prediction of time series. Single multiplicative neuron model is firstly propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0907766ed077207942edd16db4dfca3f
https://dergipark.org.tr/tr/pub/aubtda/issue/3039/42235
https://dergipark.org.tr/tr/pub/aubtda/issue/3039/42235