A Study of Soft Computing Techniques in Chemical Reactions

Main Article Content

Dr. Ramjeet Singh Yadav RSY

Abstract

This research paper has been described the fuzzy logic and hybrid fuzzy logic-based systems, which is utilize to create knowledge-based frameworks in chemical engineering.  In this proposed study, we have proposed fuzzy logic-based methods such as Fuzzy sets, Fuzzy C-Means (FCM), Subtractive Clustering (SC) and integrated approach of SC and Artificial Neural Network Fuzzy Inference System (SC-ANFIS) for calculating the rate of chemical reaction. After comparing the results of these proposed methods with other exiting methods such as classical fuzzy logic, FCM and subtractive clustering (SC) methods, gives get the better result of SC-ANFIS. The root mean square error (both training and testing data) of SC-ANIFIS is less as compared to existing FCM method.


 

Article Details

How to Cite
RSY, D. R. S. Y. (2021). A Study of Soft Computing Techniques in Chemical Reactions. INFOCOMP Journal of Computer Science, 20(1). Retrieved from http://infocomp.dcc.ufla.br/index.php/infocomp/article/view/1218
Section
Machine Learning and Computational Intelligence