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Mostrando ítems 11-20 de 158
Artículo
Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
(IEEE Computer Society, 2015)
This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, fuzzy reasoning spiking neural P systems (FRSN ...
Artículo
A Tissue P Systems Based Uniform Solution to Tripartite Matching Problem
(IOS Press, 2011)
A tissue P system with cell division is a computing model which has two basic features: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount ...
Artículo
Handling Languages with Spiking Neural P Systems with Extended Rules
(Romanian Academy, Section for Information Science and Technology, 2006)
We consider spiking neural P systems with spiking rules allowed to introduce zero, one, or more spikes at the same time. A tool-kit for computing (some) operations with languages generated by such systems is provided. ...
Artículo
Uniform solutions to SAT and Subset Sum by spiking neural P systems
(Springer, 2009)
We continue the investigations concerning the possibility of using spiking neural P systems as a framework for solving computationally hard problems, addressing two problems which were already recently considered in this ...
Artículo
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
(World Scientific, 2021)
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software ...
Artículo
Tissue P systems with cell division
(Agora University of Oradea, 2008)
In tissue P systems several cells (elementary membranes) communicate through symport/antiport rules, thus carrying out a computation. We add to such systems the basic feature of (cell–like) P systems with active membranes ...
Artículo
An unsupervised learning algorithm for membrane computing
(Elsevier, 2015)
This paper focuses on the unsupervised learning problem within membrane computing, and proposes an innovative solution inspired by membrane computing techniques, the fuzzy membrane clustering algorithm. An evolution–co ...
Artículo
Computational efficiency of dissolution rules in membrane systems
(Taylor and Francis, 2006)
Trading (in polynomial time) space for time in the framework of membrane systems is not sufficient to efficiently solve computationally hard problems. On the one hand, an exponential number of objects generated in ...
Artículo
Monodirectional Tissue P Systems With Promoters
(IEEE Computer Society, 2020)
Tissue P systems with promoters provide nondeterministic parallel bioinspired devices that evolve by the interchange of objects between regions, determined by the existence of some special objects called promoters. ...
Artículo
Complexity aspects of polarizationless membrane systems
(Springer, 2009)
We investigate polarizationless P systems with active membranes working in maximally parallel manner, which do not make use of evolution or communication rules, in order to find which features are sufficient to efficiently ...