基于遗传群体平均适应度的特征去噪

J. Convergence Inf. Technol. Pub Date : 2010-10-31 DOI:10.4156/JCIT.VOL5.ISSUE8.18

Yong-qing Wei, Ming-ying Xu, Zhen-fang Zhu

{"title":"基于遗传群体平均适应度的特征去噪","authors":"Yong-qing Wei, Ming-ying Xu, Zhen-fang Zhu","doi":"10.4156/JCIT.VOL5.ISSUE8.18","DOIUrl":null,"url":null,"abstract":"To solve the problem of the noise existed in feature items of category template in filtering system, weight adjusting strategy based on average fitness of population is proposed combining genetic algorithm with feedback. The feature items’ contribution to individual fitness is studied to adjust feature items’ weight by the genetic difference in the average fitness of the individual. Experimental results show that the weight adjusting strategy could significantly optimize filtering effect.","PeriodicalId":360193,"journal":{"name":"J. Convergence Inf. Technol.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Feature-Denoising Based on Average Fitness of Genetic Population\",\"authors\":\"Yong-qing Wei, Ming-ying Xu, Zhen-fang Zhu\",\"doi\":\"10.4156/JCIT.VOL5.ISSUE8.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To solve the problem of the noise existed in feature items of category template in filtering system, weight adjusting strategy based on average fitness of population is proposed combining genetic algorithm with feedback. The feature items’ contribution to individual fitness is studied to adjust feature items’ weight by the genetic difference in the average fitness of the individual. Experimental results show that the weight adjusting strategy could significantly optimize filtering effect.\",\"PeriodicalId\":360193,\"journal\":{\"name\":\"J. Convergence Inf. Technol.\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Convergence Inf. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4156/JCIT.VOL5.ISSUE8.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Convergence Inf. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4156/JCIT.VOL5.ISSUE8.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

针对过滤系统中类别模板特征项存在噪声的问题，提出了基于总体平均适应度的权重调整策略，并将遗传算法与反馈相结合。研究特征项对个体适应度的贡献，通过个体平均适应度的遗传差异来调整特征项的权重。实验结果表明，权重调整策略能显著优化滤波效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Feature-Denoising Based on Average Fitness of Genetic Population

To solve the problem of the noise existed in feature items of category template in filtering system, weight adjusting strategy based on average fitness of population is proposed combining genetic algorithm with feedback. The feature items’ contribution to individual fitness is studied to adjust feature items’ weight by the genetic difference in the average fitness of the individual. Experimental results show that the weight adjusting strategy could significantly optimize filtering effect.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

J. Convergence Inf. Technol.

自引率

0.00%

发文量