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Innovations in computational intelli...
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(1998 :)
Innovations in computational intelligencebest selected papers of the Third International Conference on REDSET 2016 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Innovations in computational intelligenceedited by Brajendra Panda, Sudeep Sharma, Usha Batra.
Reminder of title:
best selected papers of the Third International Conference on REDSET 2016 /
other author:
Panda, Brajendra.
corporate name:
Published:
Singapore :Springer Singapore :2018.
Description:
xi, 307 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Computational intelligenceCongresses.
Online resource:
http://dx.doi.org/10.1007/978-981-10-4555-4
ISBN:
9789811045554$q(electronic bk.)
Innovations in computational intelligencebest selected papers of the Third International Conference on REDSET 2016 /
Innovations in computational intelligence
best selected papers of the Third International Conference on REDSET 2016 /[electronic resource] :edited by Brajendra Panda, Sudeep Sharma, Usha Batra. - Singapore :Springer Singapore :2018. - xi, 307 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7131860-949X ;. - Studies in computational intelligence ;v. 216..
Soft computing & Core Computing -- Modelling and Simulation -- Computer Networks and Communications -- Next Generation Computing -- Advanced Databases -- Miscellaneous.
The present book includes a set of selected best papers from the 3rd International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2016), held in Gurgaon, India, from 21 to 22 October 2016. The conference focused on the experimental, theoretical and application aspects of innovations in computational intelligence and provided a platform for the academicians and scientists. This book provides an insight into ongoing research and future directions in this novel, continuously evolving field. Many decades have been devoted to creating and refining methods and tools for computational intelligence such as Artificial Neural Networks, Evolutionary Computation, Fuzzy Logic, Computational Swarm Intelligence and Artificial Immune Systems. However, their applications have not yet been broadly disseminated. Computational intelligence can be used to provide solutions to many real-life problems, which could be translated into binary languages, allowing computers to process them. These problems, which involve various fields such as robotics, bioinformatics, computational biology, gene expression, cancer classification, protein function prediction, etc., could potentially be solved using computational intelligence techniques.
ISBN: 9789811045554$q(electronic bk.)
Standard No.: 10.1007/978-981-10-4555-4doiSubjects--Topical Terms:
384502
Computational intelligence
--Congresses.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Innovations in computational intelligencebest selected papers of the Third International Conference on REDSET 2016 /
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The present book includes a set of selected best papers from the 3rd International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2016), held in Gurgaon, India, from 21 to 22 October 2016. The conference focused on the experimental, theoretical and application aspects of innovations in computational intelligence and provided a platform for the academicians and scientists. This book provides an insight into ongoing research and future directions in this novel, continuously evolving field. Many decades have been devoted to creating and refining methods and tools for computational intelligence such as Artificial Neural Networks, Evolutionary Computation, Fuzzy Logic, Computational Swarm Intelligence and Artificial Immune Systems. However, their applications have not yet been broadly disseminated. Computational intelligence can be used to provide solutions to many real-life problems, which could be translated into binary languages, allowing computers to process them. These problems, which involve various fields such as robotics, bioinformatics, computational biology, gene expression, cancer classification, protein function prediction, etc., could potentially be solved using computational intelligence techniques.
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based on 0 review(s)
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000000151068
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1圖書
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EB Q342 .I61 2016 2018
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-981-10-4555-4
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