期刊论文

Design of signed integer complementer based on spiking neural membrane system

中文

武汉轻工大学学报

2095-7386

2019

38

4

53-60

10.3969/j.issn.2095-7386.2019.04.011

中国食品公益专项研究基金(201513004-3).

本校为第一机构

为了用脉冲神经膜系统实现有符号加法运算,需要解决有符号整数的补码表示问题。设计了求有符号整数补码的脉冲神经膜系统。首先,设计了将负整数的原码转换为补码的脉冲神经膜系统;其次,设计了将负整数和非负整数分离的脉冲神经膜系统;最后,在负整数和非负整数分离的脉冲神经膜系统的基础上,设计了求任意整数补码的脉冲神经膜系统。系统仿真表明,所设计的脉冲神经膜系统能准确地求任意有符号整数的补码。当前问题的解决,将有助于脉冲神经膜系统的有符号加法器的设计。

In order to realize the signed addition operation with the spiking neural membrane system, it is necessary to solve the problem of complement representation of signed integers. In this paper, a spiking neural membrane system is designed for symbolic integer complement. Firstly, a spiking neural membrane system is designed to convert the negative integer code into complement code. Secondly, a spiking neural membrane system is designed to separate negative integers from non-negative integers. Finally, on the basis of the spiking neural membrane system with the separation of negative integer and ...