Difference between revisions 728126570 and 728126885 on enwiki

{{Distinguish|soft microprocessor}}
{{Expert subject|computer science|date=July 2009}}

In [[computer science]], '''soft computing''' is the use of inexact solutions to computationally hard tasks such as the solution of [[NP-complete]] problems, for which there is no known algorithm that can compute an exact solution in [[polynomial time]]. Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and [[approximation]]. In effect, the role model for soft computing is the [[human]] [[mind]].

The principal constituents of Soft Computing (SC) are [[Fuzzy logic|Fuzzy Logic]] (FL), [[Artificial neural network|Neural Computing]] (NC), [[Evolutionary computation|Evolutionary Computation]] (EC), [[Machine learning|Machine Learning]] (ML) and [[Probabilistic logic|Probabilistic Reasoning]] (PR), with the latter subsuming [[Bayesian network|belief networks]], [[chaos theory]] and parts of learning theory.

==Introduction==
(contracted; show full)* http://dspace.nitrkl.ac.in:8080/dspace/bitstream/2080/1136/1/subudhi.pdf

{{Authority control}}

[[Category:Scientific modeling]]
[[Category:Artificial intelligence]]
[[Category:Semantic Web]]
[[Category:Soft computing]]