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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) ...
Artículo
Enhancing semantic consistency in anti-fraud rule-based expert systems
(Elsevier, 2017)
In this study, an ontology-driven approach is proposed for semantic conflict detection and classification inrule-based expert systems. It focuses on the critical case of anti-fraud rule repositories for the inspectionof ...
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 ...
Artículo
Empirical evaluation of distributed Differential Evolution on standard benchmarks
(Elsevier, 2014)
This paper presents a new distributed Differential Evolution (dDE) algorithm and provides an exhaustive evaluation of it by using two standard benchmarks. One of them was proposed in the special session of Real-Parameter ...
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
Representative datasets for neural networks
(Elsevier, 2018)
Neural networks present big popularity and success in many fields. The large training time process problem is a very important task nowadays. In this paper, a new approach to get over this issue based on reducing dataset ...
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 ...
Artículo
Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems
(Romanian Academy, Section for Information Science and Technology, 2015)
An optimization spiking neural P system (OSNPS) provides a novel way to directly use a P system to solve optimization problems. This paper discusses the practical application of OSNPS for the first time and uses it to ...
Artículo
H2A monoubiquitination in Arabidopsis thaliana is generally independent of LHP1 and PRC2 activity
(BioMed Central, 2017)
Background: Polycomb group complexes PRC1 and PRC2 repress gene expression at the chromatin level in eukaryotes. The classic recruitment model of Polycomb group complexes in which PRC2-mediated H3K27 trimethylation ...