Research Center for Artificial Intelligence, Chengdu University of Technology, Chengdu 610059, P. R. China.
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China.
Int J Neural Syst. 2021 Jan;31(1):2050055. doi: 10.1142/S0129065720500550. Epub 2020 Sep 16.
Several variants of spiking neural P systems (SNPS) have been presented in the literature to perform arithmetic operations. However, each of these variants was designed only for one specific arithmetic operation. In this paper, a complete arithmetic calculator implemented by SNPS is proposed. An application of the proposed calculator to information fusion is also proposed. The information fusion is implemented by integrating the following three elements: (1) an addition and subtraction SNPS already reported in the literature; (2) a modified multiplication and division SNPS; (3) a novel storage SNPS, i.e. a method based on SNPS is introduced to calculate basic probability assignment of an event. This is the first attempt to apply arithmetic operation SNPS to fuse multiple information. The effectiveness of the presented general arithmetic SNPS calculator is verified by means of several examples.
已有几种尖峰神经网络脉冲系统（SNPS）变体被提出用于执行算术运算。然而，这些变体中的每一种都仅针对一种特定的算术运算而设计。本文提出了一种由 SNPS 实现的完整算术计算器。还提出了将所提出的计算器应用于信息融合。信息融合通过集成以下三个要素来实现：（1）文献中已经报道的加法和减法 SNPS；（2）修改后的乘法和除法 SNPS；（3）新颖的存储 SNPS，即引入基于 SNPS 的方法来计算事件的基本概率赋值。这是首次尝试将算术运算 SNPS 应用于融合多种信息。通过几个示例验证了所提出的通用算术 SNPS 计算器的有效性。
