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Listar por autor "Wang, Jun"
Mostrando ítems 1-20 de 28
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Artículo
A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms
Wang, Jun; Peng, Hong; Tu, Min; Pérez Jiménez, Mario de Jesús; Shi, Peng (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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Capítulo de Libro
A Kernel-Based Membrane Clustering Algorithm
Yang, Jinyu; Chen, Ru; Zhang, GuoZhou; Peng, Hong; Wang, Jun; Riscos Núñez, Agustín (Springer, 2018)The existing membrane clustering algorithms may fail to handle the data sets with non-spherical cluster boundaries. To ...
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Artículo
A novel image thresholding method based on membrane computing and fuzzy entropy
Peng, Hong; Wang, Jun; Pérez Jiménez, Mario de Jesús; Shi, Peng (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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Artículo
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
Wang, Tao; Wei, Xiaoguang; Wang, Jun; Huang, Tao; Peng, Hong; Song, Xiaoxiao; Valencia Cabrera, Luis; Pérez Jiménez, Mario de Jesús (Elsevier, 2020)This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy Reasoning Spiking Neural P Systems ...
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Ponencia
About the Efficiency of Spiking Neural P Systems
Wang, Jun; Ishdorj, Tseren-Onolt; Pan, Linqiang (Fénix Editora, 2009)Spiking neural P systems were proved to be Turing complete as function computing or number generating devices. Moreover, ...
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Ponencia
Adaptive Fuzzy Spiking Neural P Systems for Fuzzy Inference and Learning
Wang, Jun; Peng, Hong (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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Artículo
An automatic clustering algorithm inspired by membrane computing
Peng, Hong; Wang, Jun; Shi, Peng; Riscos Núñez, Agustín; Pérez Jiménez, Mario de Jesús (Elsevier, 2015)Membrane computing is a class of distributed parallel computing models. Inspired from the structure and inherent mechanism ...
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Artículo
An unsupervised learning algorithm for membrane computing
Peng, Hong; Wang, Jun; Pérez Jiménez, Mario de Jesús; Riscos Núñez, Agustín (Elsevier, 2015)This paper focuses on the unsupervised learning problem within membrane computing, and proposes an innovative solution ...
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Artículo
Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
Wang, Tao; Wang, Jun; Ming, Jun; Sun, Zhang; Wei, ChuanXiang; Lu, Chun; Pérez Jiménez, Mario de Jesús (IEEE Computer Society, 2018)The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within ...
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Artículo
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
Wang, Tao; Wei, Xiaoguang; Huang, Tao; Wang, Jun; Valencia Cabrera, Luis; Fan, Zhennan; Pérez Jiménez, Mario de Jesús (Hindawi, 2019)Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and ...
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Artículo
Decision Tree Models Induced by Membrane Systems
Wang, Jun; Hu, Juan; Peng, Hong; Pérez Jiménez, Mario de Jesús; Riscos Núñez, Agustín (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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Artículo
Dendrite P systems
Peng, Hong; Bao, Tingting; Luo, Xiaohui; Wang, Jun; Song, Xiaoxiao; Riscos Núñez, Agustín; Pérez Jiménez, Mario de Jesús (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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Artículo
Dynamic threshold neural P systems
Peng, Hong; Wang, Jun; Pérez Jiménez, Mario de Jesús; Riscos Núñez, Agustín (Elsevier, 2019)Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally ...
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Ponencia
Fault Diagnosis for Multi-energy Flows of Energy Internet: Framework and Prospects
Wang, Tao; Wang, Jun; Fan, Zhennan; Wei, Xiaoguang; Pérez Jiménez, Mario de Jesús; Zang, Tianlei; Huang, Tao (IEEE Computer Society, 2017)Energy Internet (EI) is an inevitable development trend of energy systems under the background of technology development, ...
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Artículo
Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
Wang, Tao; Zhang, Gexiang; Zhao, Junbo; He, Zhengyou; Wang, Jun; Pérez Jiménez, Mario de Jesús (IEEE Computer Society, 2015)This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems ...
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Artículo
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems
Peng, Hong; Wang, Jun; Ming, Jun; Shi, Peng; Pérez Jiménez, Mario de Jesús; Yu, Wenping; Tao, Chengyu (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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Artículo
Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems
Wang, Tao; Zeng, Sikui; Zhang, Gexiang; Pérez Jiménez, Mario de Jesús; Wang, Jun (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 ...
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Artículo
Fuzzy reasoning spiking neural P system for fault diagnosis
Peng, Hong; Wang, Jun; Pérez Jiménez, Mario de Jesús; Wang, Hao; Shao, Jie; Wang, Tao (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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Ponencia
Image Thresholding with Cell-like P Systems
Peng, Hong; Shao, Jie; Li, Bing; Wang, Jun; Pérez Jiménez, Mario de Jesús; Jiang, Yang; Yang, Yufan (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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Artículo
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
Wang, Jun; Peng, Hong; Yu, Wenping; Ming, Jun; Pérez Jiménez, Mario de Jesús; Tao, Chengyu; Huang, Xiangnian (Elsevier, 2019)It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the challenge ...