脉冲神经膜系统实现有符号整数的算术运算  

Spiking Neural P Systems for Performing Signed Integer Arithmetic Operations

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

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]湖南科技大学知识处理与网络化制造实验室,湖南湘潭411201 [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2期360-364,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(90818004;61202462;51175169)资助

摘　　要：脉冲神经膜系统是一种结合脉冲神经网络和膜系统特点的新型生物计算装置,具有强大的计算能力和解决计算难问题的潜力.本文考虑在脉冲神经膜系统这种装置上处理一些简单的算术运算问题,包括二进制补码转换、有符号整数的加、减运算和任意两个自然数的乘法运算,这些系统的输入、输出数均采用二进制方式,编码采用合适的脉冲序列.本文较好地解决了Gutiérrez-Naranjo MA.和Leporati A.提出的关于如何实现两个任意自然数乘法运算的公开问题.当前工作可以作为解决更加复杂问题的基础,也有助于设计基于脉冲神经膜系统的生物型CPU.Spiking neural P systems are a new class of bio-inspired computing devices incorporating the ideas of spiking neural net- works into P systems, and have powerful computational capability and potential capability in solving computationally hard problems. In this paper,we consider spiking neural P systems as devices which can be used to perform some basic arithmetic operations, namely two＇s complement, addition/subtraction on signed integers, and multiplication on two arbitrary natural numbers. The inputs and out- puts of those systems are indicated by binary form and encoded as corresponding spike trains. This paper provides an answer to an open problem about multiplication operation of two arbitrary natural numbers formulated by Guti6rrez-Naranjo MA. And Leporati A. The present work maybe considered as the basis for more complex applications, and maybe for designing of a CPU based on spiking neural P systems.

关 键 词：脉冲神经膜系统 算术运算 二进制补码 加法 乘法 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]