{"title":"Design of multi-sorts classifier based on general ant colony optimization","authors":"Ying Zhang, Xue-Bo Chen, Chen Chu","doi":"10.1109/WCICA.2011.5970538","DOIUrl":null,"url":null,"abstract":"On the base of General Ant Colony Optimization, this paper proposed a new design method for multi-sorts classifier for the sorts being known. This approach is optimal compared with other methods, and its recognition rate is high and can be used widely in practice.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 9th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2011.5970538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
On the base of General Ant Colony Optimization, this paper proposed a new design method for multi-sorts classifier for the sorts being known. This approach is optimal compared with other methods, and its recognition rate is high and can be used widely in practice.
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