Browsing by Author "Peng, Hong"
Now showing items 1-20 of 25
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Article
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 ...
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Chapter of Book
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 ...
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Article
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 ...
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Article
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 ...
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Presentation
Adaptive Fuzzy Spiking Neural P Systems for Fuzzy Inference and Learning
(Fénix Editora, 2012)Spiking neural P systems (in short, SN P systems) and their variants, in- cluding fuzzy spiking neural P systems (in ...
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Article
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 ...
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Article
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 ...
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Article
Decision Tree Models Induced by Membrane Systems
(Romanian Academy, Section for Information Science and Technology, 2015)This paper focuses on an application of membrane systems to solve classification problems. Decision tree technique has ...
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Article
Dendrite P systems
(Elsevier, 2020)It was recently found that dendrites are not just a passive channel. They can perform mixed computation of analog and ...
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Article
Dynamic threshold neural P systems
(Elsevier, 2019)Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally ...
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Article
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 ...
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Article
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 ...
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Presentation
Image Thresholding with Cell-like P Systems
(Fénix Editora, 2012)P systems are a new class of distributed parallel computing models. In this paper, a novel three-level thresholding ...
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Article
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 ...
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Presentation
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 ...
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Article
Membrane computing and image processing: a short survey
(SPRINGER; SPRINGERNATURE, 2019)Membrane computing is a well-known research area in computer science inspired by the organization and behavior of live ...
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Article
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, ...
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Article
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 ...
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Article
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 ...
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Article
Reservoir computing models based on spiking neural P systems for time series classification
(PERGAMON-ELSEVIER SCIENCE LTD, 2024)Nonlinear spiking neural P (NSNP) systems are neural-like membrane computing models with nonlinear spiking mechanisms. ...