Prediction of Fuzzy Sunspot Time Series By Using RBFANN
DOI:
https://doi.org/10.25130/tjps.v22i11.924Keywords:
First order fuzzy time series, FCM, FLRs, Fuzzy vector, RBFANN, Forecasting, Prediction.Abstract
We are present in this paper a new modified method of prediction of Sunspot time series after Fuzzify the data by using Fuzzy C-means clustering method (FCM). Our method consist of forecasting as first phase and prediction as a second phase. The accuracy of the results that we obtained is measured by M.S.E and we got a good results.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Tikrit Journal of Pure Science
This work is licensed under a Creative Commons Attribution 4.0 International License.
Tikrit Journal of Pure Science is licensed under the Creative Commons Attribution 4.0 International License, which allows users to copy, create extracts, abstracts, and new works from the article, alter and revise the article, and make commercial use of the article (including reuse and/or resale of the article by commercial entities), provided the user gives appropriate credit (with a link to the formal publication through the relevant DOI), provides a link to the license, indicates if changes were made, and the licensor is not represented as endorsing the use made of the work. The authors hold the copyright for their published work on the Tikrit J. Pure Sci. website, while Tikrit J. Pure Sci. is responsible for appreciate citation of their work, which is released under CC-BY-4.0, enabling the unrestricted use, distribution, and reproduction of an article in any medium, provided that the original work is properly cited.
