{"title":"一种用于内容可寻址二维联想存储器的光学神经网络","authors":"Yanping Sun","doi":"10.1117/12.2294897","DOIUrl":null,"url":null,"abstract":"An optical neural network system used for content addressable 2-D associative memory has been demonstrated. A liquid crystal light valve (LCLV) is employed as a 2-D parallel thresholding and feedback device. The interconnections of the network are realized with a specially prepared hologram. When one of the stored images, even if only less than half of the image, appears at the input plane, the system can recognize and give a complete retrieval of the input image.","PeriodicalId":322470,"journal":{"name":"Marketplace for Industrial Lasers","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An optical neural network used for content addressable two-dimensional associative memory\",\"authors\":\"Yanping Sun\",\"doi\":\"10.1117/12.2294897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An optical neural network system used for content addressable 2-D associative memory has been demonstrated. A liquid crystal light valve (LCLV) is employed as a 2-D parallel thresholding and feedback device. The interconnections of the network are realized with a specially prepared hologram. When one of the stored images, even if only less than half of the image, appears at the input plane, the system can recognize and give a complete retrieval of the input image.\",\"PeriodicalId\":322470,\"journal\":{\"name\":\"Marketplace for Industrial Lasers\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marketplace for Industrial Lasers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2294897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketplace for Industrial Lasers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2294897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optical neural network used for content addressable two-dimensional associative memory
An optical neural network system used for content addressable 2-D associative memory has been demonstrated. A liquid crystal light valve (LCLV) is employed as a 2-D parallel thresholding and feedback device. The interconnections of the network are realized with a specially prepared hologram. When one of the stored images, even if only less than half of the image, appears at the input plane, the system can recognize and give a complete retrieval of the input image.