soft computing sentence in Hindi
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- In effect, the role model for soft computing is the human mind.
- Soft computing techniques, based on fuzzy logic can be useful here.
- He lists 28 journals dealing with fuzzy reasoning, and 21 journal titles on soft computing.
- Other soft computing approaches to AI include fuzzy systems, evolutionary computation and many statistical tools.
- He worked in real-time systems, soft computing, and embedded computing in Mitsubishi Electric Research Labs.
- There are main differences between soft computing and possibility.
- Soft computing techniques are intended to complement each other.
- The application of soft computing to AI is studied collectively by the emerging discipline of computational intelligence.
- The principal constituents of Soft Computing ( SC ) are belief networks, chaos theory and parts of learning theory.
- Another common contrast comes from the observation that inductive reasoning plays a larger role in soft computing than in hard computing.
- Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.
- Researches are carried out also on signal processing, number theory, artificial intelligence, soft computing, language engineering and mathematical modelling of complex chaotic systems.
- Soft computing differs from conventional ( hard ) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation.
- Prof . Pal is widely recognized across the world for his pioneering and extraordinary contributions in Machine Intelligence, Fuzzy Logic, Soft Computing and Pattern Recognition.
- ;Computational intelligence and soft computing : Interest in neural networks and " connectionism " was revived by David Rumelhart and others in the middle of 1980s.
- The company maintains several research centers in the region including research in the areas like soft computing employing fuzzy logic, nano-organics, molecular electronics, optoelectronics and micromachining.
- Neural networks are an example of soft computing---they are solutions to problems which cannot be solved with complete logical certainty, and where an approximate solution is often enough.
- Unlike hard computing schemes, which strive for exactness and full truth, soft computing techniques exploit the given tolerance of imprecision, partial truth, and uncertainty for a particular problem.
- 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.
- More current research since the 1990s include the areas of intelligent systems, generalized information theory, fuzzy set theory and fuzzy logic, theory of generalized measures, and soft computing.
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