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As per the available reports 10 National symposiums, 5 Speakers, 6 Conferences Proceedings, 3 Open Access Articles are going to be held across the world.
Computational intelligence (CI) is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which traditional approaches, i.e., first principles modelling or explicit statistical modelling, are ineffective or infeasible. Many such real-life problems are not considered to be well-posed problems mathematically, but nature provides many counterexamples of biological systems exhibiting the required function, practically. For instance, the human body has about 200 joints (degrees of freedom), but humans have little problem in executing a target movement of the hand, specified in just three Cartesian dimensions. Even if the torso were mechanically fixed, there is an excess of 7:3 parameters to be controlled for natural arm movement. Traditional models also often fail to handle uncertainty, noise and the presence of an ever-changing context. Computational Intelligence provides solutions for such and other complicated problems and inverse problems. It primarily includes artificial neural networks, evolutionary computation and fuzzy logic] In addition, CI also embraces biologically inspired algorithms such as swarm intelligence[6] and artificial immune systems, which can be seen as a part of evolutionary computation, and includes broader fields such as image processing,[7] data mining,[8] and natural language processing.[9] Furthermore other formalisms: Dumpster–Shafer theory, chaos theory and many-valued logic are used in the construction of computational models . .Topics like Data integration , Machine learning .
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Scope and Importance
Computational Intelligence provides solutions for such and other complicated problems and inverse problems. It primarily includes artificial neural networks, evolutionary computation and fuzzy logic] In addition, CI also embraces biologically inspired algorithms such as swarm intelligence[6] and artificial immune systems, which can be seen as a part of evolutionary computation, and includes broader fields such as image processing,[7] data mining,[8] and natural language processing.[9] Furthermore other formalisms: Dumpster–Shafer theory, chaos theory and many-valued logic are used in the construction of computational models
Market analysis:
The computational intelligence market has been achieving strong revenues. The Global Market Statistics shows that it has reached a revenue height of 8.39 USD (billion), 8.15 USD (billion) and 8.12 USD (billion) for services, hardware and software, respectively for the year 2013. The global market statistic also shows a revenue forecast for the global big data market from 2011 to 2017. For 2016, the source projects the global big data market is predicted to grow to more than 45 billion U.S. dollars in revenue.
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This page was last updated on December 23, 2024
