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Mostrando ítems 11-20 de 23
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 ...
Capítulo de Libro
A Kernel-Based Membrane Clustering Algorithm
(Springer, 2018)
The existing membrane clustering algorithms may fail to handle the data sets with non-spherical cluster boundaries. To overcome the shortcoming, this paper introduces kernel methods into membrane clustering algorithms ...
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
Fuzzy reasoning spiking neural P system for fault diagnosis
(Elsevier, 2013)
Spiking neural P systems (SN P systems) have been well established as a novel class of distributed parallel computing models. Some features that SN P systems possess are attractive to fault diagnosis. However, handling ...