Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2006-08-22
Nonlinear Sciences
Adaptation and Self-Organizing Systems
A review article, 16 pages
Scientific paper
The purpose of the present review is to discuss the role of Soft Computing techniques in understanding the complexity associated with atmospheric phenomena and thus developing predictive models. Problems in atmospheric data analysis are discussed in brief and the relevance of Soft Computing to the atmospheric data analysis and their advantage over the conventional methods are also conversed. Applicability of different Soft Computing techniques is precisely discussed. In the last section, up-to-date literature appraisal is incorporated.
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