Buscar
Mostrando ítems 11-20 de 25
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 Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
(IEEE Computer Society, 2015)
This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, fuzzy reasoning spiking neural P systems (FRSN ...
Artículo
Spiking Neural P systems with weights
(MIT Press, 2010)
A variant of spiking neural P systems with positive or negative weights on synapses is introduced, where the rules of a neuron fire when the potential of that neuron equals a given value. The involved values—weights, firing ...
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, ...
Artículo
Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration
(IEEE Computer Society, 2019)
To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather dif cult. This paper proposes a new framework for the fault propagation path modeling ...
Ponencia
Membrane Clustering: A Novel Clustering Algorithm under Membrane Computing
(Fénix Editora, 2014)
Membrane computing (known as P systems) is a class of distributed parallel computing models, this paper presents a novel algorithm under membrane computing for solving the data clustering problem, called as membrane ...
Ponencia
Fault Diagnosis for Multi-energy Flows of Energy Internet: Framework and Prospects
(IEEE Computer Society, 2017)
Energy Internet (EI) is an inevitable development trend of energy systems under the background of technology development, environmental pressure and energy transition. Multi-energy flow coupling is one of the key ...