{"title":"基于少模光纤的光电神经网络","authors":"Jinsheng Xu, Jian Zhao, Tianhua Xu, K. Wong","doi":"10.1109/ICOCN53177.2021.9563734","DOIUrl":null,"url":null,"abstract":"In this work, for the first time to our knowledge, the spatial degrees of freedom are introduced to opto-electronic neural networks, and the few-mode fiber based multiplexing is numerically simulated to realize parallel synapses.","PeriodicalId":6756,"journal":{"name":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","volume":"58 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Opto-Electronic Neural Networks Based on Few-Mode Fiber\",\"authors\":\"Jinsheng Xu, Jian Zhao, Tianhua Xu, K. Wong\",\"doi\":\"10.1109/ICOCN53177.2021.9563734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, for the first time to our knowledge, the spatial degrees of freedom are introduced to opto-electronic neural networks, and the few-mode fiber based multiplexing is numerically simulated to realize parallel synapses.\",\"PeriodicalId\":6756,\"journal\":{\"name\":\"2021 19th International Conference on Optical Communications and Networks (ICOCN)\",\"volume\":\"58 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 19th International Conference on Optical Communications and Networks (ICOCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOCN53177.2021.9563734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN53177.2021.9563734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Opto-Electronic Neural Networks Based on Few-Mode Fiber
In this work, for the first time to our knowledge, the spatial degrees of freedom are introduced to opto-electronic neural networks, and the few-mode fiber based multiplexing is numerically simulated to realize parallel synapses.
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