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

'''Soft computing''' is a term applied to a field within computer science which is characterized by 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(contracted; show full)

There is a main difference between soft computing and possibility. Possibility is used when we don't have enough information to solve a problem but soft computing is used when we don't have enough information about the problem itself. These kind
s of problems originate in human mind with all its doubts, subjectivity and emotions; an example can be determining a suitable temperature for a room to make people feel comfortable.<br />

==Components==
Components of soft computing include:
* [[Neural network]]s (NN)
** [[Perceptron]]
* [[Support Vector Machine]]s (SVM)
* [[Fuzzy logic]] (FL)
(contracted; show full)==External links==
* [http://www.softcomputing.es EUROPEAN CENTRE FOR SOFT COMPUTING]
* [http://www.helsinki.fi/~niskanen/bisc.html BISC SIG IN PHILOSOPHY OF SOFT COMPUTING]

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