Soft computing
Soft computing is a collection of artificial intelligence-based computational techniques.[1]
History
The theory and techniques related to Soft computing were first introduced in 1980s.[2] But, the term "Soft computing" was coined by Lotfi A. Zadeh in 1992.[1] It combines the fundamentals of neural network, fuzzy logic, and genetic algorithm which, in turn, offers the superiority of humanlike problem solving capabilities.[3]
References
- ^ a b Choudhury, Balamati; Jha, Rakesh Mohan, eds. (2016), "Soft Computing Techniques", Soft Computing in Electromagnetics: Methods and Applications, Cambridge: Cambridge University Press, pp. 9–44, ISBN 978-1-107-12248-2, retrieved 2021-02-24
- ^ Ibrahim, Dogan (2016-01-01). "An Overview of Soft Computing". Procedia Computer Science. 12th International Conference on Application of Fuzzy Systems and Soft Computing, ICAFS 2016, 29-30 August 2016, Vienna, Austria. 102: 34–38. doi:10.1016/j.procs.2016.09.366. ISSN 1877-0509.
- ^ Shukla, K. K. (2000-01-01), Sinha, NARESH K.; Gupta, MADAN M. (eds.), "CHAPTER 17 - Soft Computing Paradigms for Artificial Vision", Soft Computing and Intelligent Systems, Academic Press Series in Engineering, San Diego: Academic Press, pp. 405–417, ISBN 978-0-12-646490-0, retrieved 2021-02-24
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