{"title":"时延约束组播路由的噪声混沌神经网络","authors":"Wen Liu, Lipo Wang, Haixiang Shi","doi":"10.1109/SCIS.2007.367700","DOIUrl":null,"url":null,"abstract":"The QoS constrained multicast routing is studied widely these years due to the development of multimedia applications such as video-conferencing and video-on-demand. We apply noisy chaotic neural networks (NCNN) on the delay constrained multicast routing problem. The NCNN has richer and more flexible dynamics, and therefore is more efficient compared with the conventional Hopfield neural network as the latter is often trapped at local minima","PeriodicalId":184726,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence in Scheduling","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Noisy Chaotic Neural Networks For Delay Constrained Multicast Routing\",\"authors\":\"Wen Liu, Lipo Wang, Haixiang Shi\",\"doi\":\"10.1109/SCIS.2007.367700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The QoS constrained multicast routing is studied widely these years due to the development of multimedia applications such as video-conferencing and video-on-demand. We apply noisy chaotic neural networks (NCNN) on the delay constrained multicast routing problem. The NCNN has richer and more flexible dynamics, and therefore is more efficient compared with the conventional Hopfield neural network as the latter is often trapped at local minima\",\"PeriodicalId\":184726,\"journal\":{\"name\":\"2007 IEEE Symposium on Computational Intelligence in Scheduling\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Symposium on Computational Intelligence in Scheduling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCIS.2007.367700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Symposium on Computational Intelligence in Scheduling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCIS.2007.367700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noisy Chaotic Neural Networks For Delay Constrained Multicast Routing
The QoS constrained multicast routing is studied widely these years due to the development of multimedia applications such as video-conferencing and video-on-demand. We apply noisy chaotic neural networks (NCNN) on the delay constrained multicast routing problem. The NCNN has richer and more flexible dynamics, and therefore is more efficient compared with the conventional Hopfield neural network as the latter is often trapped at local minima
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