小通用同质脉冲神经膜系统  

Small Universal Homogeneous Spiking Neural P Systems

作　　者：彭献武[1,2] 樊晓平[2,3] 刘建勋[1] 文宏[1,2] 梁伟[1] 

机构地区：[1]湖南科技大学知识处理与网络化制造实验室,湖南湘潭411201 [2]中南大学信息科学与工程学院,长沙410083 [3]湖南财政经济学院网络化系统研究所,长沙410205

出　　处：《小型微型计算机系统》2013年第8期1935-1939,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61272063;61202462;51175169)资助;湖南省教育厅项目(12C0120)资助

摘　　要：最近,许多学者针对寻找基于脉冲神经膜系统的小通用计算设备问题进行了研究.脉冲神经膜系统是一种源于神经元之间通过电子脉冲传递信息方式的分布式、并行计算模型.同质脉冲神经膜系统是指一种系统中所有神经元具有相同规则集合的脉冲神经膜系统的受限变体.本文研究了同质脉冲神经膜系统的小通用性:在使用标准规则和权值情况下,作为计算函数的装置,需要53个神经元可以构造一个通用同质脉冲神经膜系统;作为产生数的装置,则需要52个神经元.The problem of finding small universal computing devices based spiking neural P systems was recently investigated by many scholars. Spiking neural P systems are a class of distributed and parallel computing models inspired from the way neurons communi- cate with each other by means of electrical impulses. Homogeneous spiking neural P systems are a restricted variant of spiking neural P systems, where each neuron has the same set of rules. In this paper, the small universality of homogeneous spiking neural P sys- tems is studied. As devices computing functions, we construct a small universal homogeneous spiking neural P system with standard rules and weight having 53 neurons. As devices generating of sets of numbers, a small universal homogeneous spiking neural P sys- tem with standard rules and weight having 52 neurons is found.

关 键 词：膜计算 脉冲神经膜系统 同质 小通用计算设备 注册机 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]