Soft Computing Techniques in Various Areas

Shreyans Chhazed and Sanjeev Sipani
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Shreyans Chhazed: IT Student in Vellore Institute of Technology, Vellore, India
Sanjeev Sipani: Associate Professor in Civil Engineering Department, Yagyavalkya Institute of Technology, Jaipur, India

International Journal of Research and Scientific Innovation, 2020, vol. 7, issue 6, 106-110

Abstract: Soft computing is a study of the science of logic, thinking, analysis and research that combines real-world problems with biologically inspired methods. Soft computing is the main motivation behind the idea of conceptual intelligence in machines. As such, it is an extension of heuristics and the resolution of complex problems that are very difficult to model mathematically. Smooth computing tolerates printing; uncertainty and approximation that differ from manual calculation. Soft Computing enumerates techniques like ANN, Evolutionary computing, Fuzzy Logic and statistics, they are advantageous and separately applied techniques which are used together to solve problems which are complex, very easily. This article highlights the various soft computing ting techniques and emerging areas of soft computing ting where they have been successfully implemented.

Date: 2020
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