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Mostrando ítems 1-6 de 6
Artículo
Multiobjective fuzzy clustering approach based on tissue-like membrane systems
(Elsevier, 2017-06)
Fuzzy clustering problem is usually posed as an optimization problem. However, the existing researchhas shown that clustering technique that optimizes a single cluster validity index may not provide satisfactory results ...
Artículo
A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms
(Chinese Institute of Electronics, 2016)
A new fault diagnosis method based on improved Adaptive fuzzy spiking neural P systems (in short, AFSN P systems) and Particle swarm optimization (PSO) algorithm is presented to improve the efficiency and accuracy of ...
Artículo
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 of membrane computing, a membrane clustering algorithm is proposed to deal with automatic clustering ...
Artículo
A novel image thresholding method based on membrane computing and fuzzy entropy
(IOS Press, 2013)
Multi-level thresholding methods are a class of most popular image segmentation techniques, however, they are not computationally efficient since they exhaustively search the optimal thresholds to optimize the objective ...
Artículo
Weighted Fuzzy Spiking Neural P Systems
(IEEE Computer Society, 2013)
Spiking neural P systems (SN P systems) are a new class of computing models inspired by the neurophysiological be-havior of biological spiking neurons. In order to make SN P sys-tems capable of representing and processing ...
Artículo
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems
(IEEE Computer Society, 2018)
In this paper, intuitionistic fuzzy spiking neural P (IFSNP) systems as a variant are proposed by integrating intuitionistic fuzzy logic into original spiking neural P systems. Compared with a common fuzzy set, ...