Soft Computing Techniques in combating the complexity of the atmosphere- a review

TL;DR

This review explores how soft computing techniques are used to analyze complex atmospheric phenomena and develop predictive models, highlighting their advantages over traditional methods.

Contribution

It provides a comprehensive overview of soft computing applications in atmospheric data analysis and discusses recent advancements in the field.

Findings

Soft computing techniques effectively handle atmospheric data complexity.

They offer advantages over conventional analytical methods.

Recent literature demonstrates growing application of these techniques.

Abstract

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.