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" CLASSIFICATION SYSTEMS OPTIMIZATION WITH MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS.ET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 155190
Doc. No : ET26982
Main Entry : Paulo Vinicius Wolski Radtke
Title Proper : CLASSIFICATION SYSTEMS OPTIMIZATION WITH MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS.ET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The optimization of classification systems is a non-trivial task, which is most of the timeperformed by a human expert. The task usually requires the application of domainknowledge to extract meaningful information for the classification stage. Featureextraction is traditionally a trial and error process, where the expert chooses a set.
Subject : Electericl tess
: برق
electronic file name : TL51262.pdf
Title and statement of responsibility and : CLASSIFICATION SYSTEMS OPTIMIZATION WITH MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS.ET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL51262.pdf
TL51262.pdf
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