{"title":"应用神经网络方法监测不同配置的企业网络","authors":"I. O. Yuskov, E. P. Stroganova","doi":"10.1109/SYNCHROINFO49631.2020.9166044","DOIUrl":null,"url":null,"abstract":"One of the most important elements of using neural networks in the near future will be the preservation of interaction between different configurations in the field of wireless communication networks, which will meet the existing diversity and meet the requirements that arise when creating and operating networks. One of the most important tasks will be the communication network, which will create a domain for the selected fragment of the existing physical network. It is also worth noting that they are presented for end-to-end communication with the core of one network with another. At the same time, this connection is considered as the development and integration of different networks into a single neural network model for building a system for corporate needs and tasks.","PeriodicalId":255578,"journal":{"name":"2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Applying a Neural Network Approach to Monitoring Corporate Networks with Various Configurations\",\"authors\":\"I. O. Yuskov, E. P. Stroganova\",\"doi\":\"10.1109/SYNCHROINFO49631.2020.9166044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most important elements of using neural networks in the near future will be the preservation of interaction between different configurations in the field of wireless communication networks, which will meet the existing diversity and meet the requirements that arise when creating and operating networks. One of the most important tasks will be the communication network, which will create a domain for the selected fragment of the existing physical network. It is also worth noting that they are presented for end-to-end communication with the core of one network with another. At the same time, this connection is considered as the development and integration of different networks into a single neural network model for building a system for corporate needs and tasks.\",\"PeriodicalId\":255578,\"journal\":{\"name\":\"2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNCHROINFO49631.2020.9166044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNCHROINFO49631.2020.9166044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Applying a Neural Network Approach to Monitoring Corporate Networks with Various Configurations
One of the most important elements of using neural networks in the near future will be the preservation of interaction between different configurations in the field of wireless communication networks, which will meet the existing diversity and meet the requirements that arise when creating and operating networks. One of the most important tasks will be the communication network, which will create a domain for the selected fragment of the existing physical network. It is also worth noting that they are presented for end-to-end communication with the core of one network with another. At the same time, this connection is considered as the development and integration of different networks into a single neural network model for building a system for corporate needs and tasks.