G. Shcherbakova, V. Krylov, Valentin Abakumov, V. Brovkov, I. Kozina
{"title":"Sub gradient iterative method for neural networks training","authors":"G. Shcherbakova, V. Krylov, Valentin Abakumov, V. Brovkov, I. Kozina","doi":"10.1109/IDAACS.2011.6072774","DOIUrl":null,"url":null,"abstract":"Sub gradient iterative method in the wavelet transformed domain for neural networks training rule is proposed. This method allows to improve noise stability, to reduce local extreme and initial point search sensitiveness.","PeriodicalId":106306,"journal":{"name":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2011.6072774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Sub gradient iterative method in the wavelet transformed domain for neural networks training rule is proposed. This method allows to improve noise stability, to reduce local extreme and initial point search sensitiveness.