{"title":"Machine Learning in SOA Optical Communication Systems","authors":"F. Matera","doi":"10.1109/ICOP49690.2020.9300311","DOIUrl":null,"url":null,"abstract":"The performance of cascaded optical communication systems with in-line semiconductor optical amplifiers is evaluated by means of machine learning approaches based both on a regression model and an artificial neural network.","PeriodicalId":131383,"journal":{"name":"2020 Italian Conference on Optics and Photonics (ICOP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Italian Conference on Optics and Photonics (ICOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOP49690.2020.9300311","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
The performance of cascaded optical communication systems with in-line semiconductor optical amplifiers is evaluated by means of machine learning approaches based both on a regression model and an artificial neural network.
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