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Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System

Author:
Usui, K.
,
Nakata, M.
,
Takadama, K.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICIT.2014.12
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1034985
Keyword(s): Cascading style sheets,Erbium,Games,Mathematical model,Optimization,Sensors,Throughput,Cognitive Radio Network (CRN),Cooperative Spectrum Sensing (CSS),Reporting energy,Reporting time
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    Reusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System

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contributor authorUsui, K.
contributor authorNakata, M.
contributor authorTakadama, K.
date accessioned2020-03-12T21:02:39Z
date available2020-03-12T21:02:39Z
date issued2014
identifier other6921897.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1034985
formatgeneral
languageEnglish
publisherIEEE
titleReusable knowledge by linkage-classifier in Accuracy-based Learning Classifier System
typeConference Paper
contenttypeMetadata Only
identifier padid8160968
subject keywordsCascading style sheets
subject keywordsErbium
subject keywordsGames
subject keywordsMathematical model
subject keywordsOptimization
subject keywordsSensors
subject keywordsThroughput
subject keywordsCognitive Radio Network (CRN)
subject keywordsCooperative Spectrum Sensing (CSS)
subject keywordsReporting energy
subject keywordsReporting time
identifier doi10.1109/ICIT.2014.12
journal titleature and Biologically Inspired Computing (NaBIC), 2014 Sixth World Congress on
filesize988415
citations0
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