{"title":"Fuzzy adapting vigilance parameter of ART-II neural nets","authors":"Fu Li, Jian Zhan","doi":"10.1109/ICNN.1994.374409","DOIUrl":null,"url":null,"abstract":"The ART-II model that self-organizes stable recognition codes in real-time is capable of recognizing arbitrary sequences. Based on the feedback mechanism in ART-II, this paper analyses its dynamical process and characteristics of convergence, and defines the concepts of attractive basin, self-stability, focus point. A fuzzy adaptive vigilance /spl rho/ algorithm, with /spl rho/ optimally tailored in signal processing under noisy environment, is proposed. The improved ART-II model with the fuzzy adaptive /spl rho/ has the capability of tolerating and correcting error in the memory while preserving the pattern sensitivity for signal recognition. The new algorithm overcomes the weakness of fixed /spl rho/ which may cause the spurious memory. An intelligent signal processing system is constructed for the recognition of multifrequency patterns in telecommunication. The result of simulation demonstrates that the ART-II model with fuzzy adaptive /spl rho/ recognizes signals at lower signal-to-noise ratio than original one with fixed /spl rho/.<<ETX>>","PeriodicalId":209128,"journal":{"name":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1994.374409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The ART-II model that self-organizes stable recognition codes in real-time is capable of recognizing arbitrary sequences. Based on the feedback mechanism in ART-II, this paper analyses its dynamical process and characteristics of convergence, and defines the concepts of attractive basin, self-stability, focus point. A fuzzy adaptive vigilance /spl rho/ algorithm, with /spl rho/ optimally tailored in signal processing under noisy environment, is proposed. The improved ART-II model with the fuzzy adaptive /spl rho/ has the capability of tolerating and correcting error in the memory while preserving the pattern sensitivity for signal recognition. The new algorithm overcomes the weakness of fixed /spl rho/ which may cause the spurious memory. An intelligent signal processing system is constructed for the recognition of multifrequency patterns in telecommunication. The result of simulation demonstrates that the ART-II model with fuzzy adaptive /spl rho/ recognizes signals at lower signal-to-noise ratio than original one with fixed /spl rho/.<>
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