{"title":"控制动态对象的神经网络算法","authors":"V. Alekseev, A. Eliseev, K. Kolegov, F. Aminova","doi":"10.1109/SUMMA48161.2019.8947559","DOIUrl":null,"url":null,"abstract":"The article analyzes the properties and capabilities of Hopfield neural networks for use in control systems of dynamic objects and build control algorithms based on them.","PeriodicalId":163496,"journal":{"name":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural Network Algorithms to Control Dynamic Objects\",\"authors\":\"V. Alekseev, A. Eliseev, K. Kolegov, F. Aminova\",\"doi\":\"10.1109/SUMMA48161.2019.8947559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article analyzes the properties and capabilities of Hopfield neural networks for use in control systems of dynamic objects and build control algorithms based on them.\",\"PeriodicalId\":163496,\"journal\":{\"name\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SUMMA48161.2019.8947559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUMMA48161.2019.8947559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural Network Algorithms to Control Dynamic Objects
The article analyzes the properties and capabilities of Hopfield neural networks for use in control systems of dynamic objects and build control algorithms based on them.