{"title":"辅助神经网络辅助机器学习EDFA增益模型","authors":"Jiachuan Lin, Xiang Lin, Zhiping Jiang","doi":"10.23919/OFC49934.2023.10117258","DOIUrl":null,"url":null,"abstract":"An enhanced EDFA model employing auxiliary neural networks is proposed. Adaptive to different devices, the model reduces the root mean square error from 0.04 to 0.02 dB with significantly less amount of training data.","PeriodicalId":355445,"journal":{"name":"2023 Optical Fiber Communications Conference and Exhibition (OFC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Auxiliary Neural Network Assisted Machine Learning EDFA Gain Model\",\"authors\":\"Jiachuan Lin, Xiang Lin, Zhiping Jiang\",\"doi\":\"10.23919/OFC49934.2023.10117258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An enhanced EDFA model employing auxiliary neural networks is proposed. Adaptive to different devices, the model reduces the root mean square error from 0.04 to 0.02 dB with significantly less amount of training data.\",\"PeriodicalId\":355445,\"journal\":{\"name\":\"2023 Optical Fiber Communications Conference and Exhibition (OFC)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Optical Fiber Communications Conference and Exhibition (OFC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/OFC49934.2023.10117258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Optical Fiber Communications Conference and Exhibition (OFC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/OFC49934.2023.10117258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Auxiliary Neural Network Assisted Machine Learning EDFA Gain Model
An enhanced EDFA model employing auxiliary neural networks is proposed. Adaptive to different devices, the model reduces the root mean square error from 0.04 to 0.02 dB with significantly less amount of training data.
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