Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874475 | Journal of Computational Science | 2017 | 13 Pages |
Abstract
Results on real world data show that taking into account both types of imperfection in the process of LCC prediction and the correlation between parameters improve the resulting predictions about the land changes. Comparisons with existing methods are also discussed in terms of accuracy and computation time and they show that the proposed approach outperforms existing methods.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Wadii Boulila, Zouhayra Ayadi, Imed Riadh Farah,