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Using radial basis function neural networks (RBFNNs) to forecasting with fuzzy time series | ||
| Tikrit Journal For Administration & Economics Sciences | ||
| Article 1, Volume 12, Issue 36, 2016, Pages 126-140 | ||
| Author | ||
| Ayad hamad khalaf Lecturer | ||
| Abstract | ||
| Abstract we introduce study of a method to forecasting fuzzy time series relying on radial basis function neural networks in the process of lifting the misty during speculate process a few steps away from the use of FCM function and the process of fuzzy clustering. been integrating these processes to reach the best results when compared to previous studies which has recording data for students at the University of Alabama. has been using MATLAB program to create clusters that are used as groups Millbh and drawing functions, as well as the use of Excel software to perform calculations were obtained a few error ratio of between the numbers of registered university mentioned when compared to previous studies. | ||
| Keywords | ||
| FCM; RBF | ||
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