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. Soft computing covers similar
topics of computational
intelligence, natural computing,
and organic computing.
"Distributed" or "grid" computing in general is a special type of parallel computing, it is advanced in the means of using distributed computing.
Amiga Computing was created in 1988.
types of ubiquitous computing
"Utility computing is packaging computing resources. Some companies that offer jobs in utility computing are SAVVIS, Sunpower, Sunguard, and Ciber. This is just a sample of the companies offering utility computing jobs."
characteristics of numerical computing
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.
1) Hard computing, i.e., conventional computing, requires a precisely stated analytical model and often a lot of computation time. Soft computingdiffers 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.2) Hard computing based on binary logic, crisp systems, numerical analysis and crisp software but soft computingbased on fuzzy logic, neural nets and probabilistic reasoning.3) Hard computing has the characteristics of precision and categoricity and the soft computing, approximation and dispositionality. Although in hard computing, imprecision and uncertainty are undesirable properties, in soft computing the tolerance for imprecision and uncertainty is exploited to achieve tractability, lower cost, high Machine Intelligence Quotient (MIQ) and economy of communication4) Hard computing requires programs to be written; soft computing can evolve its own programs5) Hard computing uses two-valued logic; soft computing can use multivalued or fuzzy logic6) Hard computing is deterministic; soft computingincorporates stochasticity7) Hard computing requires exact input data; soft computing can deal with ambiguous and noisy data8) Hard computing is strictly sequential; soft computing allows parallel computations9) Hard computing produces precise answers; soft computing can yield approximate answers
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. Soft computing covers similar topics of computational intelligence, natural computing, and organic computing.
Soft computing is softer and the other is harder. Did it make any sense? Of course no coz the question was also no nonsense.
yes
Ramon F. Brena has written: 'Quantitative semantics and soft computing methods for the Web' -- subject(s): Soft computing, Semantic Web
it is not uploaded yet anywhere
Great computing from 3 pounds of soft glop. (And made by amateurs.)
B. F. Povey has written: 'A soft methodology for business process improvement'
Leszek Rutkowski has written: 'Nieparametryczne procedury uczenia w sytuacjach niestacjonarnych' -- subject(s): System identification 'New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing (Studies in Fuzziness and Soft Computing)'
Rachel Delbridge has written: 'The application of Soft Systems Methodology to library management system design'
Miles Murdocca has written: 'A digital design methodology for optical computing' -- subject(s): Digital integrated circuits, Optical Computers, Optical data processing