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International Journal of Computer Mathematics Volume 90, 2013 - Issue 4: A selection of papers from the 10th Brainstorming Week on Membrane Computing, Sevilla, 30 January–3 February 2012
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Section A

Adaptive fuzzy spiking neural P systems for fuzzy inference and learning

Jun Wang School of Electrical and Information Engineering, Xihua University, Chengdu, Sichuan, 610039, China
&
Hong Peng School of Mathematics and Computer Engineering, Xihua University, Chengdu, Sichuan, 610039, ChinaCorrespondence[email protected]
Pages 857-868 | Received 24 May 2012, Published online: 11 Feb 2013

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Gheorghe Păun & Mario de Jesús Pérez-Jiménez. (2013) Foreword. International Journal of Computer Mathematics 90:4, pages 747-749.
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Yuzhen Zhao, Yongshun Shen, Xuefu Liu, Yueguo Luo, Wenke Zang & Xiyu Liu. (2023) Spiking neural P systems with long-term potentiation and depression. Information Sciences 640, pages 119082.
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Yanyan Li, Bosheng Song & Xiangxiang Zeng. (2023) Neural-Like P Systems With Plasmids and Multiple Channels. IEEE Transactions on NanoBioscience 22:2, pages 420-429.
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Bowen Xu, Suxia Jiang, Zhichao Shen, Xiaoliang Zhu & Tao Liang. (2022) Numerical spiking neural P systems with weights. Journal of Membrane Computing 5:1, pages 12-24.
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Gexiang Zhang, Xihai Zhang, Haina Rong, Prithwineel Paul, Ming Zhu, Ferrante Neri & Yew-Soon Ong. (2022) A Layered Spiking Neural System for Classification Problems. International Journal of Neural Systems 32:08.
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Tao Wang, Xiaoguang Wei, Jun Wang, Tao Huang, Hong Peng, Xiaoxiao Song, Luis Valencia Cabrera & Mario J. Pérez-Jiménez. (2020) A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies. Engineering Applications of Artificial Intelligence 92, pages 103680.
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Xiaoxiao Song, Hong Peng, Jun Wang, Guimin Ning & Zhang Sun. (2020) Small universal asynchronous spiking neural P systems with multiple channels. Neurocomputing 378, pages 1-8.
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Qian Yang, Bo Li, Yue Huang, Hong Peng & Jun Wang. (2020) Spiking neural P systems with structural plasticity and anti-spikes. Theoretical Computer Science 801, pages 143-156.
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Yun Jiang, Yansen Su & Fen Luo. (2019) An improved universal spiking neural P system with generalized use of rules. Journal of Membrane Computing 1:4, pages 270-278.
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Răzvan Andonie. (2019) Hyperparameter optimization in learning systems. Journal of Membrane Computing 1:4, pages 279-291.
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Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul & Zhiwei Huang. (2019) Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems. Complexity 2019, pages 1-16.
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Hong Peng & Jun Wang. (2019) Coupled Neural P Systems. IEEE Transactions on Neural Networks and Learning Systems 30:6, pages 1672-1682.
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Ping Guo, Changsheng Quan & Lian Ye. (2019) UPSimulator: A general P system simulator. Knowledge-Based Systems 170, pages 20-25.
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Tao Wang, XiaoGuang Wei, Tao Huang, Jun Wang, Hong Peng, Mario J. Perez-Jimenez & Luis Valencia-Cabrera. (2019) Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration. IEEE Access 7, pages 12798-12808.
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Hong Peng, Jun Wang, Mario J. Pérez-Jiménez & Agustín Riscos-Núñez. (2019) Dynamic threshold neural P systems. Knowledge-Based Systems 163, pages 875-884.
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Xiaoxiao Song, Hong Peng, Jun Wang, Guimin Ning, Tao Wang, Zhang Sun & Yankun Xia. 2019. Membrane Computing. Membrane Computing 229 245 .
Hong Peng, Jun Wang, Jun Ming, Peng Shi, Mario J. Perez-Jimenez, Wenping Yu & Chengyu Tao. (2018) Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems. IEEE Transactions on Smart Grid 9:5, pages 4777-4784.
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Xiaoxiao Song, Jun Wang, Hong Peng, Guimin Ning, Zhang Sun, Tao Wang & Fan Yang. (2018) Spiking neural P systems with multiple channels and anti-spikes. Biosystems 169-170, pages 13-19.
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Zhihua Chen, Pan Zhang, Xun Wang, Xiaolong Shi, Tingfang Wu & Pan Zheng. (2016) A computational approach for nuclear export signals identification using spiking neural P systems. Neural Computing and Applications 29:3, pages 695-705.
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Hong Peng, Ru Chen, Jun Wang, Xiaoxiao Song, Tao Wang, Fan Yang & Zhang Sun. (2017) Competitive Spiking Neural P Systems With Rules on Synapses. IEEE Transactions on NanoBioscience 16:8, pages 888-895.
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Hong Peng, Jinyu Yang, Jun Wang, Tao Wang, Zhang Sun, Xiaoxiao Song, Xiaohui Luo & Xiangnian Huang. (2017) Spiking neural P systems with multiple channels. Neural Networks 95, pages 66-71.
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Hong Peng, Peng Shi, Jun Wang, Agustín Riscos-Núñez & Mario J. Pérez-Jiménez. (2017) Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowledge-Based Systems 125, pages 74-82.
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Chengyu Tao, Jun Wang, Tao Wang & Yanxiang Yang. 2017. Bio-inspired Computing: Theories and Applications. Bio-inspired Computing: Theories and Applications 380 395 .
Yun Jiang, Fen Luo & Yueguo Luo. 2017. Bio-inspired Computing: Theories and Applications. Bio-inspired Computing: Theories and Applications 117 130 .
Tao Song, Pan Zheng, M.L. Dennis Wong & Xun Wang. (2016) Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control. Information Sciences 372, pages 380-391.
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Tao Song & Linqiang Pan. (2016) Spiking neural P systems with request rules. Neurocomputing 193, pages 193-200.
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Hong Peng, Jun Wang, Peng Shi, Mario J. Pérez-Jiménez & Agustín Riscos-Núñez. (2016) An Extended Membrane System with Active Membranes to Solve Automatic Fuzzy Clustering Problems. International Journal of Neural Systems 26:03, pages 1650004.
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Chengyu Tao, Wenping Yu, Jun Wang, Hong Peng, Ke Chen & Jun Ming. 2016. Bio-inspired Computing – Theories and Applications. Bio-inspired Computing – Theories and Applications 385 398 .
Yunying Yang, Jun Ming, Jun Wang, Hong Peng, Zhang Sun & Wenping Yu. 2016. Bio-inspired Computing – Theories and Applications. Bio-inspired Computing – Theories and Applications 237 248 .
Juan Hu, Guangchun Chen, Hong Peng, Jun Wang, Xiangnian Huang & Xiaohui Luo. 2016. Bio-inspired Computing – Theories and Applications. Bio-inspired Computing – Theories and Applications 187 199 .
Tao Song, Jinbang Xu & Linqiang Pan. (2015) On the Universality and Non-Universality of Spiking Neural P Systems With Rules on Synapses. IEEE Transactions on NanoBioscience 14:8, pages 960-966.
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Hong Peng, Jun Wang & Mario J. Pérez-Jiménez. (2015) Optimal multi-level thresholding with membrane computing. Digital Signal Processing 37, pages 53-64.
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Hong Peng, Xiaohui Luo, Zhisheng Gao, Jun Wang & Zheng Pei. (2015) A Novel Clustering Algorithm Inspired by Membrane Computing. The Scientific World Journal 2015, pages 1-8.
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Hong Peng, Jun Wang, Mario J. Pérez-Jiménez & Agustín Riscos-Núñez. (2014) The framework of P systems applied to solve optimal watermarking problem. Signal Processing 101, pages 256-265.
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