Matrix representations of spiking neural P systems: Revisited

Autor:	Adorna, Henry N.
Rok vydání:	2022
Předmět:	Computer Science - Neural and Evolutionary Computing
Druh dokumentu:	Working Paper
Popis:	In the 2010, matrix representation of SN P system without delay was presented while in the case of SN P systems with delay, matrix representation was suggested in the 2017. These representations brought about series of simulation of SN P systems using computer software and hardware technology. In this work, we revisit these representation and provide some observations on the behavior of the computations of SN P systems. The concept of reachability of configuration is considered in both SN P systems with and without delays. A better computation of next configuration is proposed in the case of SN P system with delay. Comment: In: Gheorghe Paun (Ed) Proceedings of the 20th International Conference on Membrane Computing (CMC20), Editura Bibliostar, Ramnicu Valcea (2019) pp 227-247
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2211.15156 Zobrazit plný text záznamu View this record from Arxiv