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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 communication
4) Hard computing requires programs to be written; soft computing can evolve its own programs
5) Hard computing uses two-valued logic; soft computing can use multivalued or fuzzy logic
6) Hard computing is deterministic; soft computingincorporates stochasticity
7) Hard computing requires exact input data; soft computing can deal with ambiguous and noisy data
8) Hard computing is strictly sequential; soft computing allows parallel computations
9) Hard computing produces precise answers; soft computing can yield approximate answers
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What is the difference between hard computing and soft 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.
What is soft computing methodology?
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.
What is soft computer?
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.
What is the advantage of using soft computing method over hard computing method?
Soft computing is softer and the other is harder. Did it make any sense? Of course no coz the question was also no nonsense.
How does hard water differ chemically from soft water?
Hard water has more calcium than soft water does
How can you get soft computing question papers?
yes
What has the author Ramon F Brena written?
Ramon F. Brena has written: 'Quantitative semantics and soft computing methods for the Web' -- subject(s): Soft computing, Semantic Web
Is brown soft or hard?
Hard
What is the difference between soft and hard information?
Soft information refers to qualitative data that is subjective and difficult to quantify, such as customer satisfaction or market trends. Hard information, on the other hand, refers to quantitative data that is objective and can be easily measured, like financial statements or production numbers. Soft information is typically more open to interpretation compared to hard information.
What is cloud computing virtualization?
Cloud computing virtualization is basically a substitute for hard copies. For instance, e-mail is a cloud computing virtualization because it is not a hard copy, its source is the computer.
What is the difference between hard and soft electrophile?
They differ in the ability of their valance electrons to be removed, ie their polarisable ability. Hard electrophile valance electrons are not easily delocalised (hardly polarisable). Soft electrophile valance electrons are easily delocalised (strongly polarisable).
Is breakwater hard or soft engineering?
it is hard and sometimes soft
