利用根据输出强度图像训练的物理约束机器学习模型的状态来重建光纤的特征模式

{"title":"利用根据输出强度图像训练的物理约束机器学习模型的状态来重建光纤的特征模式","authors":"Alexander Kabardiadi-Virkovski, Leander Kläber, Thomas Schreiber, Antje Schuschies, Peter Hartmann","doi":"10.1117/12.3002398","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":517664,"journal":{"name":"Fiber Lasers XXI: Technology and Systems","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using the state of a physically constrained machine learning model trained on the output intensity images to reconstruct the eigenmodes of an optical fiber\",\"authors\":\"Alexander Kabardiadi-Virkovski, Leander Kläber, Thomas Schreiber, Antje Schuschies, Peter Hartmann\",\"doi\":\"10.1117/12.3002398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":517664,\"journal\":{\"name\":\"Fiber Lasers XXI: Technology and Systems\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fiber Lasers XXI: Technology and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3002398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fiber Lasers XXI: Technology and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3002398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}