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020 _a9789811045554
_9978-981-10-4555-4
024 7 _a10.1007/978-981-10-4555-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aInnovations in Computational Intelligence
_h[electronic resource] :
_bBest Selected Papers of the Third International Conference on REDSET 2016 /
_cedited by Brajendra Panda, Sudeep Sharma, Usha Batra.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2018.
300 _aXI, 307 p. 145 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v713
505 0 _aSoft computing & Core Computing -- Modelling and Simulation -- Computer Networks and Communications -- Next Generation Computing -- Advanced Databases -- Miscellaneous.
520 _aThe 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.
650 0 _aComputational intelligence.
_97716
650 0 _aData mining.
_93907
650 0 _aComputer networks .
_931572
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aData Mining and Knowledge Discovery.
_952940
650 2 4 _aComputer Communication Networks.
_952941
700 1 _aPanda, Brajendra.
_eeditor.
_0(orcid)0000-0003-1117-9328
_1https://orcid.org/0000-0003-1117-9328
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952942
700 1 _aSharma, Sudeep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952943
700 1 _aBatra, Usha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_952944
710 2 _aSpringerLink (Online service)
_952945
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811045547
776 0 8 _iPrinted edition:
_z9789811045561
776 0 8 _iPrinted edition:
_z9789811351662
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v713
_952946
856 4 0 _uhttps://doi.org/10.1007/978-981-10-4555-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79052
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