{"title":"A Learning Algorithm for Self-Organizing Maps Based on a Low-Pass Filter Scheme","authors":"M. Tucci, Marco Raugi","doi":"10.1109/ICAIS.2009.15","DOIUrl":null,"url":null,"abstract":"In this work a novel training algorithm is proposed for the formation of topology preserving maps. In the proposed algorithm the weights are updated incrementally by using a higher-order difference equation, which implements a low pass digital filter. It is shown that by suitably choosing the filter the learning process can adaptively follow a specific dynamic.","PeriodicalId":161840,"journal":{"name":"2009 International Conference on Adaptive and Intelligent Systems","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Adaptive and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS.2009.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this work a novel training algorithm is proposed for the formation of topology preserving maps. In the proposed algorithm the weights are updated incrementally by using a higher-order difference equation, which implements a low pass digital filter. It is shown that by suitably choosing the filter the learning process can adaptively follow a specific dynamic.
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