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Mostrando ítems 21-30 de 33
Artículo
Tissue P Systems With Channel States Working in the Flat Maximally Parallel Way
(IEEE Computer Society, 2016)
issue P systems with channel states are a class of bio-inspired parallel computational models, where rules are used in a sequential manner (on each channel, at most one rule can be used at each step). In this work, tissue ...
Artículo
Efficient solutions to hard computational problems by P systems with symport/antiport rules and membrane division
(Elsevier, 2015)
P systems are computing models inspired by some basic features of biological membranes. In this work, membrane division, which provides a way to obtain an exponential workspace in linear time, is introduced into (cell-like) ...
Ponencia
Kernel P Systems - Version 1
(Fénix Editora, 2013)
A basic P system, called kernel P system4 (kP system for short), combining features of di erent P systems introduced and studied so far is de ned and discussed. The structure of such systems is de ned as a dynamic graph, ...
Artículo
Computational efficiency and universality of timed P systems with membrane creation
(Springer, 2015)
P systems are a class of distributed parallel computing models inspired by the structure and the functioning of a living cell, where the execution of each rule is completed in exactly one time unit (a global clock ...
Capítulo de Libro
Membrane System-Based Models for Specifying Dynamical Population Systems
(Springer, 2014)
Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modelling framework, which has been successfully used for modelling population dynamics on real ecosystems. The semantics of these ...
Ponencia
Simulating a Family of Tissue P Systems Solving SAT on the GPU
(Fénix Editora, 2013)
In order to provide e cient software tools to deal with large membrane systems, high-throughput simulators are required. Parallel computing platforms are good candidates, since they are capable of partially implementing ...
Artículo
Sequential Spiking Neural P Systems with Structural Plasticity Based on Max/Min Spike Number
(Springer, 2016)
Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic computing devices inspired by biological spiking neurons. Recently, a class of SNP systems known as SNP systems with ...
Artículo
An efficient time-free solution to SAT problem by P systems with proteins on membranes
(Elsevier, 2016)
P systems with proteins on membranes are a class of bio-inspired computing models,where the execution of each rule completes in exactly one time unit. However, in livingcells, the execution time of biochemical reactions ...
Artículo
Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System
(Romanian Academy, Section for Information Science and Technology, 2015)
This paper presents the application of a modified fuzzy reasoning spiking neural P systems (MFRSN P system, for short) to fault diagnosis of metro traction power supply systems. In MFRSN P systems, three types of neurons ...
Capítulo de Libro
Asynchronous Spiking neural P systems with structural plasticity
(Springer, 2015)
Spiking neural P (in short, SNP) systems are computing devices inspired by biological spiking neurons. In this work we consider SNP systems with structural plasticity (in short, SNPSP systems) working in the asynchronous ...