Spiking Neural P Systems for Conversion Between Number Systems
Abstract
A number system is a method for representing numbers. Efficient conversion between digital systems is crucial in human-computer interaction and computer information processing. This paper first constructed two SNP systems for the conversions between decimal and binary. Then, a family of SNP systems is constructed, which can convert between two arbitrary number systems. Examples are given to illustrate and verify the feasibility and effectiveness of these SNP systems. Compared with advanced similar systems, the proposed SNP system requires only approximately 1/3 the time slices for decimal-to-binary conversion and approximately 43% for binary-to-decimal conversion.
Fields of Study & Subjects
DNA and Biological Computing
Machine Learning and Algorithms
Network Packet Processing and Optimization
Publication details
- Journal / source
- IEEE Transactions on NanoBioscience
- Volume
- 25
- Issue
- 3
- Pages
- 278–288
- Publication date
- 1 January 2026
- Language
- EN