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B
Bai, X., Huang Y., Peng H., Wang J., Yang Q., Orellana-Martín D., et al. (2023).  Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. Information Sciences. 119916. Abstract
L
Li, B., Peng H., Luo X., Wang J., Song X., Pérez-Jiménez M. J., et al. (2021).  Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain. International Journal of Neural Systems. 31(1), 2050050.
Lv, Z., Bao T., Zhou N., Peng H., Huang X., Riscos-Núñez A., et al. (2021).  Spiking Neural P Systems with Extended Channel Rules. International Journal of Neural Systems. 31(1), 2050049.
P
Peng, H., Shao J., Li B., Wang J., Pérez-Jiménez M. J., Jiang Y., et al. (2012).  Image Thresholding with Cell-like P Systems. Tenth Brainstorming Week on Membrane Computing. II, 75-88. Abstract
Peng, H., Wang J., Ming J., Shi P., Pérez-Jiménez M. J., Yu W., et al. (2018).  Fault diagnosis of power systems using intuitionistic fuzzy spiking neural P systems. IEEE Transactions on Smart Grid.
Peng, H., Jiang Y., Wang J., & Pérez-Jiménez M. J. (2015).  Membrane clustering algorithm with hybrid evolutionary mechanisms. Journal of Software. 26(6), 1001-1012.
Peng, H., Lv Z., Li B., Luo X., Wang J., Song X., et al. (2020).  Nonlinear Spiking Neural P Systems. International Journal of Neural Systems. 30(10), 2050008.
Peng, H., Wang J., & Pérez-Jiménez M. J. (2015).   Optimal multi-level thresholding with membrane computing. Digital Signal Processing. 37, 53–64.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  The framework of P systems applied to solve optimal watermarking problem. Signal Processing. 101, 256-265.
Peng, H., Wang J., Pérez-Jiménez M. J., Wang H., Shao J., & Wang T. (2013).  Fuzzy reasoning spiking neural P system for fault diagnosis. Information Sciences. 235, 106–116. Abstract
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2017).  Fault diagnosis of power systems using fuzzy tissue-like P systems. Integrated Computer-Aided Engineering. vol. 24, no. 4, 401-411.
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2016).  An extended membrane system with active membranes to solve automatic fuzzy clustering problems. International Journal of Neural Systems. 1-11. Abstract
Peng, H., Wang J., Shi P., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An automatic clustering algorithm inspired by membrane computing. Pattern Recognition Letters. 68(1), 34-40.
Peng, H., Zhang J., Wang J., Wang T., Pérez-Jiménez M. J., & Riscos-Núñez A. (2014).  Membrane Clustering: A Novel Clustering Algorithm under Membrane Computing. Twelfth Brainstorming Week on Membrane Computing (BWMC2014). 311-328.
Peng, H., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2020).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 188, 105064. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Shi P. (2013).  A novel image thresholding method based on membrane computing and fuzzy entropy. Journal of Intelligent and Fuzzy Systems. 2, 229-237. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2019).  Dynamic threshold neural P systems. Knowledge-Based Systems. 163, 875-884.
Peng, H., Shi P., Wang J., Riscos-Núñez A., & Pérez-Jiménez M. J. (2017).  Multiobjective fuzzy clustering approach based on tissue-like membrane systems. Knowledge-Based Systems. 125, 74-82.
Peng, H., Wang J., Pérez-Jiménez M. J., Riscos-Núñez A., Xiao J., & Zhang G. (2015).  Decision Tree Models Induced by Membrane Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 107-116.
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An unsupervised learning algorithm for membrane computing. Information Sciences. 304, 80–91.
Peng, H., Bao T., Luo X., Wang J., Song X., Riscos-Núñez A., et al. (2020).  Dendrite P systems. Neural Networks. 127, 110 - 120. Abstract
Peng, H., Li B., Wang J., Song X., Wang T., Valencia-Cabrera L., et al. (2019).  Spiking neural P systems with inhibitory rules. Knowledge-Based Systems. 105064. Abstract
W
Wang, J., Hu J., Peng H., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  Decision tree models induced by membrane systems. Romanian Journal of Information Science and Technology. 18(3), 228–239.
Wang, T., Wei X., Wang J., Huang T., Peng H., Song X., et al. (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, 103680. Abstract
Wang, J., Peng H., Yu W., Ming J., Pérez-Jiménez M. J., Tao C., et al. (2019).  Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks. Engineering Applications of Artificial Intelligence. 82, 102 - 109. Abstract

Statistics

  • Books (11)
  • Edited Books (28)
  • Contributions to Book Chapters (42)
  • Journal Papers (421)
  • Papers in Collective Volumes (0)
  • Technical Reports (3)
  • Conference Contributions (289)
  • Conference Proceedings (38)