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Mostrando ítems 1-10 de 12
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
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
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
Spiking neural P systems with inhibitory rules
(Elsevier, 2020)
Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems is proposed, called ...
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 weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
(Elsevier, 2020)
This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a graphic fault diagnosis method, called FDWCFRSNPS. In ...
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
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 ...
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 ...