{"title":"Wang的随机输出节点kWTA网络的收敛时间","authors":"K. Ho, Wei-Bin Lee, Siu-Chung Lau, J. Sum","doi":"10.1109/MUSIC.2012.39","DOIUrl":null,"url":null,"abstract":"Recently, an extended Wang's kWTA network with stochastic output nodes has been studied. It is shown that this extended model converges asymptotically. In this paper, we further studies the convergence time of this model. The convergence time is defined as the time taken for the model to reach a finite region around the convergent. With this definition, an approximation of convergence time is derived and its viability is shown by simulation results.","PeriodicalId":260515,"journal":{"name":"2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Convergence Time of Wang's kWTA Network with Stochastic Output Nodes\",\"authors\":\"K. Ho, Wei-Bin Lee, Siu-Chung Lau, J. Sum\",\"doi\":\"10.1109/MUSIC.2012.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, an extended Wang's kWTA network with stochastic output nodes has been studied. It is shown that this extended model converges asymptotically. In this paper, we further studies the convergence time of this model. The convergence time is defined as the time taken for the model to reach a finite region around the convergent. With this definition, an approximation of convergence time is derived and its viability is shown by simulation results.\",\"PeriodicalId\":260515,\"journal\":{\"name\":\"2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MUSIC.2012.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MUSIC.2012.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Convergence Time of Wang's kWTA Network with Stochastic Output Nodes
Recently, an extended Wang's kWTA network with stochastic output nodes has been studied. It is shown that this extended model converges asymptotically. In this paper, we further studies the convergence time of this model. The convergence time is defined as the time taken for the model to reach a finite region around the convergent. With this definition, an approximation of convergence time is derived and its viability is shown by simulation results.
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