Performance on Soft Computing Techniques
Jainab Zareena
Jainab Zareena, Department of Management Studies, Saveetha School of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1105-1106 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6335058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Soft computing techniques occupy a phenomenal position in terms of classifying cloud, forecasting rainfall, thunderstorms, wind speed, and atmospheric temperature. Many researchers focused on studying the utility of neural network models, a method of soft computing used to forecast weather and other environmental factor. However, Soft computing mechanism such as fuzzy sets, artificial neural networks, evolutionary computation, rough sets, and probabilistic reasoning could be applied to various field of study. Through earlier research studies, it is evident that working with soft computing techniques is much easier as compared to the traditional statistical methods.The present studyexplores the reviews of those papers that deal with the concept of ‘modern soft computing techniques.
Keyword: Soft Computing Technique, Statistical Methods, Computing Mechanism, Neural Network.
Scope of the Article: High Performance Computing.