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2015
Huang, K., Wang T., He Y., Zhang G., & Pérez-Jiménez M. J. (2015).  Temporal Fuzzy Reasoning Spiking Neural P Systems with Real Numbers for Power System Fault Diagnosis. Proceedings of the Asian Conference on Membrane Computing (ACMC 2015). 8, 1-20.
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.
Wang, T., Zeng S., Zhang G., Pérez-Jiménez M. J., & Wang J. (2015).  Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems. Workshop on Membrane Computing 2015 (WMC2015), Satellite workshop of UCNC2015. 117-127.
Valencia-Cabrera, L., Pérez-Jiménez M. J., Chen X., Wang B., & Zeng X. X. (2015).  Basic virus machines. 16th International Conference on Membrane Computing (CMC16). 323-342.
Wang, T., Zhang G., Pérez-Jiménez M. J., & Cheng J. (2015).  Weighted Fuzzy Reasoning Spiking Neural P Systems: Application to Fault Diagnosis in Traction Power Supply Systems of High-Speed Railways. Journal of Computational and Theoretical Nanoscience. 12(7), 1003-1114. Abstract
Peng, H., Wang J., Pérez-Jiménez M. J., & Riscos-Núñez A. (2015).  An unsupervised learning algorithm for membrane computing. Information Sciences. 304, 80–91.
Wang, T., Zhang G., Zhao J., He Z., Wang J., & Pérez-Jiménez M. J. (2015).  Fault diagnosis of electric power systems based on fuzzy reasoning spiking neural P systems. IEEE Transactions on Power Systems. 30(3), 1182-1194. Abstract
Peng, H., Wang J., & Pérez-Jiménez M. J. (2015).   Optimal multi-level thresholding with membrane computing. Digital Signal Processing. 37, 53–64.
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., Zhang G., & Pérez-Jiménez M. J. (2015).  Fuzzy Membrane Computing: Theory and Applications. International Journal of Computers, Communications and Control. 10(6), 904-935. Abstract
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.
2014
Wang, T., Zhang G., Rong H., & Pérez-Jiménez M. J. (2014).  Application of fuzzy reasoning spiking neural P systems to fault diagnosis. International Journal of Computers, Communications and Control. 9(6), 720-733.
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2014).  Application of Weighted Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis in Traction Power Supply Systems of High-speed Railways. Twelfth Brainstorming Week on Membrane Computing (BWMC2014). 329-350.
Wang, T., Zhang G., & Pérez-Jiménez M. J. (2014).  Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems. 15th Conference on Membrane Computing, pre-proceedings. 361-374.
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., 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.
2013
Wang, J., Shi P., Peng H., Pérez-Jiménez M. J., & Wang T. (2013).  Weighted Fuzzy Spiking Neural P Systems. IEEE Transactions on Fuzzy Systems. 2, 209-220. Abstract
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., 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
Pérez-Jiménez, M. J. (2013).  The P versus NP problem: Unconventional insights from Membrane Computing. (Gexiang Zhang, Y. Wang, J. Cheng, T. Wang, Ed.).Second Asian Conference on Membrane Computing. 7.
Pérez-Hurtado, I., Valencia-Cabrera L., Chacón J. M., Riscos-Núñez A., & Pérez-Jiménez M. J. (2013).  A P-Lingua based simulator for tissue P systems with cell separation. (Gexiang Zhang, Y. Wang, J. Cheng, T. Wang, Ed.).Second Asian Conference on Membrane Computing. 208-220.
2012
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
2011
Niu, Y., Paun G., & Pérez-Jiménez M. J. (2011).  A Uniform Solution to Common Algorithmic Problem by Tissue P Systems with Cell Division. (R. Abdullah, A.T. Khader, I. Venkat, Li-Pei Wong, K. G. Subramanian, Ed.).Sixth International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011. 302-326. Abstract
2010
Wang, J., Hoogeboom H. J., Pan L., Paun G., & Pérez-Jiménez M. J. (2010).  Spiking Neural P Systems with Weights. Neural Computation. 22(10), 2615-2646. Abstract
Pérez-Jiménez, M. J., Riscos-Núñez A., Romero-Jiménez Á., & Woods D. (2010).  Complexity: membrane division, membrane creation. (Gheorghe Paun, Grzegorz Rozenberg, Arto Salomaa, Ed.).The Oxford Handbook of Membrane Computing. 302-336.

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)