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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/68334


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    題名: On Spiking Neural P Systems and Partially Blind Counter Machines
    作者: Oscar H. Ibarra;Sara Woodworth;郁方;Andri Paun
    貢獻者: 資管系
    關鍵詞: Spiking neural P system;Sequential mode;Partially blind counter machine
    日期: 2008-03
    上傳時間: 2014-08-06 14:07:51 (UTC+8)
    摘要: A k-output spiking neural P system (SNP) with output neurons, O 1, ..., O k , generates a tuple (n 1, ..., n k ) of positive integers if, starting from the initial configuration, there is a sequence of steps such that during the computation, each O i generates exactly two spikes a a (the times the pair a a are generated may be different for different output neurons) and the time interval between the first a and the second a is n i . After the output neurons generate their pairs of spikes, the system eventually halts. We give characterizations of sets definable by partially blind multicounter machines in terms of k-output SNPs operating in a sequential mode. Slight variations of the models make them universal.
    關聯: Natural Computing, 7(1), 3-19
    Unconventional Computation
    Lecture Notes in Computer Science Volume 4135, 2006, pp 113-129
    資料類型: article
    顯示於類別:[資訊管理學系] 期刊論文

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