摘要
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 non-negative integer, the spiking neural membrane system is designed for arbitrary integer complement. System simulation shows that the designed system can accurately calculate the complement of any signed integer. The solution of the current problem will be helpful to the design of the symbolic adder for the spiking neural membrane system.
作者
王防修
WANG Fang-xiu(School of Mathematics and Computer Science,Wuhan Polytechnic University,Wuhan 430023,China)
出处
《武汉轻工大学学报》
2019年第4期53-60,共8页
Journal of Wuhan Polytechnic University
基金
中国食品公益专项研究基金(201513004-3)