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International Journal of Research and Scientific Innovation (IJRSI) | Volume VII, Issue VI, June 2020 | ISSN 2321–2705

Soft Computing Techniques in Various Areas

Shreyans Chhazed1, Sanjeev Sipani2
1IT Student in Vellore Institute of Technology, Vellore, India
2Associate Professor in Civil Engineering Department, Yagyavalkya Institute of Technology, Jaipur, India

IJRISS Call for paper

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.

I. INTRODUCTION

There are many problems in the real world that we have to deal with every day, and we try to solve them rationally and theoretically, but we have failed to address them due to the huge resources and computing time requirements. These problems work very systematically and consistently when resolved by natural methods. Sometimes in many practical situations the ideal solution is enough. So these types of conditions could be handled by some biologically inspired methods called soft computing.
The major covers of soft computers are the Genetic Algorithm, Fuzzy Logic, and the Artificial Intelligence Network. This discipline applies to individual problems or forms. Soft computers are part of the family of computer technology or computer intelligence. Two types of problem-solving technology are Hard Computing and Soft Computing. Hard computing deals with the precise model where exact and accurate solutions are obtained. Soft computing is based on approximate models. It is different from hard computing i.e. conventional computing which involves symbolic logic reasoning and totally passed on numerical modeling and search. Meanwhile, soft computers build up the human mind. It is impatient, unpredictable, fuzzness, cheap solutions and a better quality of life. It refers to the collection of many financial systems such as engineering, aviation, telephone, robots, cooling and heating, electrical equipment etc.

II. SOFT COMPUTING

Soft computing is a term entered into circulation in 1994. The main goal of soft computing is to follow the human mind or bring the thinking and thinking behavior closer to the human mind as much as possible.