{"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}
引用次数: 0
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.
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