ListarArtículos (Ciencias de la Computación e Inteligencia Artificial) por materia "Membrane Computing"
Mostrando ítems 21-40 de 90
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A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
(Elsevier, 2020)This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy Reasoning Spiking Neural P Systems ...
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Adaptative parallel simulators for bioinspired computing models
(Elsevier, 2020)In the Membrane Computing area, P systems are unconventional devices of computation inspired by the structure and processes ...
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An automatic clustering algorithm inspired by membrane computing
(Elsevier, 2015)Membrane computing is a class of distributed parallel computing models. Inspired from the structure and inherent mechanism ...
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An efficient time-free solution to QSAT problem using P systems with proteins on membranes
(Elsevier, 2017)P systems are a class of distributed parallel computing devices inspired by some basicbehaviors of biological membranes, ...
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An infinite hierarchy of languages defined by dP systems
(Elsevier, 2012)Here, we continue the study of the recently introduced dP automata. They are symport/antiport P systems consisting of a ...
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An optimization Spiking Neural P system for approximately solving combinatorial optimization problems
(World Scientific, 2014)Membrane systems (also called P systems) refer to the computing models abstracted from the structure and the functioning ...
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An Overview of Hardware Implementations of P Systems
(ACM Digital Library, 2020)Implementing the P systems on parallel hardware is a research highlight in bio-inspired computing since the membrane ...
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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 ...
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Automatic Design of Deterministic and Non-Halting Membrane Systems by Tuning Syntactical Ingredients
(IEEE Computer Society, 2014)To solve the programmability issue of membrane computing models, the automatic design of membrane systems is a newly ...
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Cell-Like P Systems With Channel States and Symport/Antiport Rules
(IEEE Computer Society, 2016)Cell-like P systems with symport/antiport rules are inspired by the structure of a cell and the way of communicating substances ...
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Cell-like P systems with evolutional symport/antiport rules and membrane creation
(Elsevier, 2020)Cell-like P systems with symport/antiport rules are computing models inspired by theconservation law, in the sense that ...
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Cell-like P systems with polarizations and minimal rules
(Elsevier, 2020)P systems with active membranes are a class of computation models in the area ofmembrane computing, which are inspired ...
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Comparing simulation algorithms for multienvironment probabilistic P systems over a standard virtual ecosystem
(Springer, 2012)Membrane Computing has recently proved to be a suitable framework for addressing the modelling of dynamical biological ...
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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 ...
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Computation of Ramsey Numbers by P Systems with Active Membranes
(World Scientific, 2011)Ramsey numbers deal with conditions when a combinatorial object necessarily contains some smaller given objects. It is ...
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CuSNP: Spiking Neural P Systems Simulators in CUDA
(Romanian Academy, Section for Information Science and Technology, 2017)Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. CuSNP is a ...
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Decision Tree Models Induced by Membrane Systems
(Romanian Academy, Section for Information Science and Technology, 2015)This paper focuses on an application of membrane systems to solve classification problems. Decision tree technique has ...
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Capítulo de Libro
Design Patterns for Efficient Solutions to NP-Complete Problems in Membrane Computing
(Springer, 2018)Many variants of P systems have the ability to generate an exponential number of membranes in linear time. This feature ...
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Deterministic and stochastic P systems for modelling cellular processes
(Springer, 2010)This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological sys- tems and illustrates their use through two case studies.
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Dynamic threshold neural P systems
(Elsevier, 2019)Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally ...