{"title":"时变延迟细胞神经网络的稳定性","authors":"Xiang-Zhu Huang, Ta-lun Yang, Lin-Bao Yang","doi":"10.1109/CNNA.1994.381699","DOIUrl":null,"url":null,"abstract":"In this paper, the stability of the time-variant delayed cellular neural networks (TVDCNN) is presented. The effects of the time-variant templates, the inner parameters of cells and other parameters of changing circumstances to the stability of the DCNNs are studied. Some sufficient conditions concerning the bound of delay are presented to ensure the stability of the TVDCNNs.<<ETX>>","PeriodicalId":248898,"journal":{"name":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On stability of the time-variant delayed cellular neural networks\",\"authors\":\"Xiang-Zhu Huang, Ta-lun Yang, Lin-Bao Yang\",\"doi\":\"10.1109/CNNA.1994.381699\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the stability of the time-variant delayed cellular neural networks (TVDCNN) is presented. The effects of the time-variant templates, the inner parameters of cells and other parameters of changing circumstances to the stability of the DCNNs are studied. Some sufficient conditions concerning the bound of delay are presented to ensure the stability of the TVDCNNs.<<ETX>>\",\"PeriodicalId\":248898,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1994.381699\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1994.381699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On stability of the time-variant delayed cellular neural networks
In this paper, the stability of the time-variant delayed cellular neural networks (TVDCNN) is presented. The effects of the time-variant templates, the inner parameters of cells and other parameters of changing circumstances to the stability of the DCNNs are studied. Some sufficient conditions concerning the bound of delay are presented to ensure the stability of the TVDCNNs.<>