{"title":"基于多层神经网络描述的功能转换器结构综合","authors":"A. V. Antonenko, Y. Chelebaeva","doi":"10.1109/MECO.2016.7525770","DOIUrl":null,"url":null,"abstract":"The article considers structures synthesis of the functional converters of the form of information. Synthesis is made with use of the multi-level neural network description. The task and synthesis criteria of neural network converters of the form of information are formulated. The example of the nonlinear converter of time slot in a digital code is given.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structures synthesis of the functional converters based on multilevel neural network description\",\"authors\":\"A. V. Antonenko, Y. Chelebaeva\",\"doi\":\"10.1109/MECO.2016.7525770\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article considers structures synthesis of the functional converters of the form of information. Synthesis is made with use of the multi-level neural network description. The task and synthesis criteria of neural network converters of the form of information are formulated. The example of the nonlinear converter of time slot in a digital code is given.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"223 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525770\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525770","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Structures synthesis of the functional converters based on multilevel neural network description
The article considers structures synthesis of the functional converters of the form of information. Synthesis is made with use of the multi-level neural network description. The task and synthesis criteria of neural network converters of the form of information are formulated. The example of the nonlinear converter of time slot in a digital code is given.
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