An Algorithm Forecasting Time Series Using Wavelet
In this paper we used the technique of wavelets with fuzzy logic to forecast enrollment of Alabama university from 1971 to 1994 where data were taken and analyzed by using wavelets, then logic , and we used the mean square error (MSE) to compare the forecasting results with previous different forecasting methods. The results were acceptable compared with the results of previous research.
Keywords: fuzzy logic;forecast enrollment of Alabama;wavelets
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ABOUT THE AUTHORS
Kais Ismail Ibraheem
First Author: Kais Ismail Ibraheem received the Msc in Applied Mathemtics and Phd degree in Electrical Engineering from Gadjah Mada University Indonesia, in 1998 and 2003, respectively. He is currently a head of department of Computer Sciences faculty of education, Mosul University, Iraq. His research interests include artificial intelligence,wavelet, numerical analysis, etc.
Eman Bacheer Abdelahad
Second Author: Eman Bacheer Abdelahad received her Bsc degree in Mathematics, Department of Mathmatics, College of Education, Mosul University, Iraq, 1985. Her Msc Degree in Time Series from Department of Mathmatics, College of Sciences, 1990. Her research interests include forecasting Time Series by using wavelet and Fuzzy Ti
Kais Ismail Ibraheem
First Author: Kais Ismail Ibraheem received the Msc in Applied Mathemtics and Phd degree in Electrical Engineering from Gadjah Mada University Indonesia, in 1998 and 2003, respectively. He is currently a head of department of Computer Sciences faculty of education, Mosul University, Iraq. His research interests include artificial intelligence,wavelet, numerical analysis, etc.
Eman Bacheer Abdelahad
Second Author: Eman Bacheer Abdelahad received her Bsc degree in Mathematics, Department of Mathmatics, College of Education, Mosul University, Iraq, 1985. Her Msc Degree in Time Series from Department of Mathmatics, College of Sciences, 1990. Her research interests include forecasting Time Series by using wavelet and Fuzzy Ti
