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Soft computing
{{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, parti(contracted; show full)s is rapidly increasing nowadays. Therefore, the ability of being scalable across large-scale problems becomes an essential requirement for modern SC approaches.<ref>{{cite journal|last1=Yudong|first1=Zhang|last2=Saeed|first2=Balochian|last3=Vishal|first3=Bhatnagar|title=Emerging Trends in Soft Computing Models in Bioinformatics and Biomedicine|journal=The Scientific World Journal|date=2014|volume=2014|pages=3|doi=10.1155/2014/683029|url=http://www.hindawi.com/journals/tswj/si/209027/}}</ref>


=== control of a flexible robot
manipulator===

The conventional approach to design of controllers for any plant, process or system
requires knowledge of an accurate mathematical model of the system to be controlled,
which is often difficult to derive analytically. In consequence, it is difficult or impossible
to design controllers for complex systems such as nonlinear multivariable systems using these conventional approaches that require a plant model.

A number of research investigations
exploit soft computing approaches such as fuzzy logic and neural network techniques in
designing improved controllers for flexible link manipulators. 
Controlling the tip position of a single-link flexible manipulator has been achieved successfully by
employing neural-network and fuzzy controllers  

An intelligent optimal control for a nonlinear flexible robot arm
driven by a permanent-magnet synchronous servo motor has been designed using a fuzzy
neural network control approach. ⏎
⏎
==References==
{{reflist}}

==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]
* http://www.soft-computing.de/def.html⏎
* 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]]