Share Your Research, Maximize Your Social Impacts
A Hybrid Algorithm to Forecast Enrolment Based on Genetic Algorithms and Fuzzy Time Series
Journal: The International Arab Journal of Information Technology (Vol.11, No. 3)Publication Date: 2014-05-01
Authors : Haneen Al-Wazan; Kais Ibraheem; Abdul-Ghafoor Salim;
Page : 250-257
Keywords : Fuzzy time series forecasting; genetic algorithms prediction;
Source : Download
Find it from : Google Scholar
Abstract
In this paper, we proposed a hybrid algorithm to forecast enrolment based on fuzzy time series and genetic algorithms, the proposed algorithms presents a good forecasting result with higher accuracy rate. Historical enrolment of the University of Alabama from year 1948 to 2010 are used in this study to illustrate the forecasting process.
Other Latest Articles
- Fast Computation of Accurate Pseudo Zernike Moments for Binary and Gray-Level Images
- LSSVM Parameters Tuning with Enhanced Artificial Bee Colony
- A Software Tool for Automatic Generation of Neural Hardware
- Edge Detection Based on the Newton Interpolation’s Fractional Differentiation
- An Automated Arabic Text Categorization Based on the Frequency Ratio Accumulation
Last modified: 2019-11-17 20:24:57