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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
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
(Hindawi, 2019)
Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication ...
Artículo
Optimal multi-level thresholding with membrane computing
(Elsevier, 2015)
The conventional methods are not effective and efficient for image multi-level thresholding due to time-consuming and expensive computation cost. The multi-level thresholding problem can be posed as anoptimization problem, ...
Artículo
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
(Elsevier, 2019)
It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the challenge problem, this paper introduces an interval-valued fuzzy spiking neural P system (IVFSNP system), where ...
Artículo
The framework of P systems applied to solve optimal watermarking problem
(Elsevier, 2014)
Membrane computing (known as P systems) is a novel class of distributed parallel computing models inspired by the structure and functioning of living cells and organs, and its application to the real-world problems has ...
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 ...