Soft computing: Difference between revisions

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[[File:Soft_Computing_pic.jpg|thumb|Concept illustration of ''Soft computing'']]

'''Soft computing''' is a set of [[algorithms]],<ref name=":0">

'''Soft computing''' is a collection of [[artificial intelligence]]-based computational techniques<ref name=":0">{{Citation|title=Soft Computing Techniques|date=2016|url=https://www.cambridge.org/core/books/soft-computing-in-electromagnetics/soft-computing-techniques/3220054EB1CB76AB1C34CF1F86660E69|work=Soft Computing in Electromagnetics: Methods and Applications|pages=9–44|editor-last=Choudhury|editor-first=Balamati|place=Cambridge|publisher=Cambridge University Press|doi=10.1017/CBO9781316402924.003|isbn=978-1-107-12248-2|access-date=2021-02-24|editor2-last=Jha|editor2-first=Rakesh Mohan}}</ref> including the fundamentals of [[neural network]], [[fuzzy logic]], and [[genetic algorithm]] which, in turn, offers the superiority of humanlike problem solving capabilities.<ref>{{Citation|last=Shukla|first=K. K.|title=CHAPTER 17 - Soft Computing Paradigms for Artificial Vision|date=2000-01-01|url=https://www.sciencedirect.com/science/article/pii/B9780126464900500202|work=Soft Computing and Intelligent Systems|pages=405–417|editor-last=Sinha|editor-first=NARESH K.|series=Academic Press Series in Engineering|place=San Diego|publisher=Academic Press|language=en|isbn=978-0-12-646490-0|access-date=2021-02-24|editor2-last=Gupta|editor2-first=MADAN M.}}</ref>

{{Citation|title=Soft Computing Techniques|date=2016|url=https://www.cambridge.org/core/books/soft-computing-in-electromagnetics/soft-computing-techniques/3220054EB1CB76AB1C34CF1F86660E69|work=Soft Computing in Electromagnetics: Methods and Applications|pages=9–44|editor-last=Choudhury|editor-first=Balamati|place=Cambridge|publisher=Cambridge University Press|doi=10.1017/CBO9781316402924.003|isbn=978-1-107-12248-2|access-date=2021-02-24|editor2-last=Jha|editor2-first=Rakesh Mohan}}

</ref>

including [[neural network]]s, [[fuzzy logic]], and [[genetic algorithm]]s.<ref>

{{Citation|last=Shukla|first=K. K.|title=CHAPTER 17 - Soft Computing Paradigms for Artificial Vision|date=2000-01-01|url=https://www.sciencedirect.com/science/article/pii/B9780126464900500202|work=Soft Computing and Intelligent Systems|pages=405–417|editor-last=Sinha|editor-first=NARESH K.|series=Academic Press Series in Engineering|place=San Diego|publisher=Academic Press|language=en|isbn=978-0-12-646490-0|access-date=2021-02-24|editor2-last=Gupta|editor2-first=MADAN M.}}

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These algorithms are tolerant of imprecision, uncertainty, partial truth and approximation.

It is contrasted with '''hard computing''': algorithms which finds provably correct and [[optimal]] solutions to problems.

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