{"title":"A survey of learning results for ART1 networks","authors":"G. Heileman, M. Georgiopoulos, Juxin Hwang","doi":"10.1109/ICNN.1994.374359","DOIUrl":null,"url":null,"abstract":"A collection of results related to learning in ART1 networks is presented. These results are concerned primarily with the complexity of the learning process, rather than with the quality of the learned concepts. These results provide numerous insights into the operation of ART1 networks, and detail the conditions under which such networks can learn efficiently.<<ETX>>","PeriodicalId":209128,"journal":{"name":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1994.374359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A collection of results related to learning in ART1 networks is presented. These results are concerned primarily with the complexity of the learning process, rather than with the quality of the learned concepts. These results provide numerous insights into the operation of ART1 networks, and detail the conditions under which such networks can learn efficiently.<>
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