caa a22 4500 606160256 CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00521-014-1799-2 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1799-2 A uniform solution to integer factorization using time-free spiking neural P system [Elektronische Daten] [Xiangrong Liu, Ziming Li, Juan Suo, Juan Liu, Xiaoping Min] Spiking neural P system is a class of bio-inspired computing model; a feature of traditional SN P system is that the precise execution time of each rule plays a crucial role. However, the execution that each rule has a precise execution time does not coincide with the biological fact, since the execution time of biochemical reactions can vary because of external uncontrollable conditions. SN P systems that work independently from the values associated with the execution times of the rules were investigated in Pan et al. (Neural Comput 23(5):1320-1342, 2011). In this work, we give a time-free solution to integer factorization problem by SN P systems, which means the execution times of the rules specified by different time mappings have no influence on the correctness of the solution. Besides, we prove that the systems are constructed in a uniform manner. The Natural Computing Applications Forum, 2014 Membrane computing nationallicence Spiking neural P systems nationallicence Time-free solution nationallicence Integer factorization problem nationallicence Liu Xiangrong Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut Li Ziming Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut Suo Juan Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut Liu Juan Department of Mechanical and Electrical Engineering, Institute of Physical and Mechanical and Electrical Engineering, Xiamen University, Xiamen, China aut Min Xiaoping Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut Neural Computing and Applications Springer London 26/5(2015-07-01), 1241-1247 0941-0643 26:5<1241 2015 26 521 https://doi.org/10.1007/s00521-014-1799-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1799-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Xiangrong Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut NATIONALLICENCE 700 1- Li Ziming Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut NATIONALLICENCE 700 1- Suo Juan Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut NATIONALLICENCE 700 1- Liu Juan Department of Mechanical and Electrical Engineering, Institute of Physical and Mechanical and Electrical Engineering, Xiamen University, Xiamen, China aut NATIONALLICENCE 700 1- Min Xiaoping Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/5(2015-07-01), 1241-1247 0941-0643 26:5<1241 2015 26 521