Citation: | PANG Shanchen, WANG Min, QIAO Sibo, et al., “Fault Diagnosis for Service Composition by Spiking Neural P Systems with Colored Spikes,” Chinese Journal of Electronics, vol. 28, no. 5, pp. 1033-1040, 2019, doi: 10.1049/cje.2019.06.023 |
Q. Li, A. Liu, H. Liu, et al., "Web services provision:Solutions, challenges and opportunities", Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, Suwon, Korea, pp.80-87, 2009.
|
D. Worm, M. Živković, H.V.D. Berg, et al., "Revenue maximization with quality assurance for composite web services", IEEE International Conference on ServiceOriented Computing and Applications. IEEE Computer Society, Taipei, China, pp.1-9, 2012.
|
Z.U. Rehman, O.K. Hussain and F.K. Hussain, "Parallel cloud service selection and ranking based on QoS history", International Journal of Parallel Programming, Vol.42, No.5, pp.820-852, 2014.
|
Y.H. Yan, P. Dague, Y. Pencolé, et al., "A model-based approach for diagnosing fault in web service processes", International Journal of Web Services Research, Vol.6, No.1, pp.87-110, 2009.
|
G.S. Fan, H.Q. Yu, L.Q. Chen, "Fault diagnosis and handling for service composition based on Petri nets", Journal of Software, Vol.21, No.2, pp.231-247, 2010. (in Chinese)
|
M. Ionescu, G. Pǎun and T. Yokomori, "Spiking neural P systems", Fundamenta Informaticae, Vol.71, No.2, pp.279-308, 2006.
|
L. Pan, G. Pǎun, "Spiking neural P systems with anti-spikes", Journal of Systems Engineering and Electronics, Vol.4, No.3, pp.152-162, 2014.
|
L. Pan, G Pǎun and M.J. Pérez-Jiménez, "Spiking neural P systems with neuron division and budding", Science China Information Sciences, Vol.54, No.8, pp.1596-1607, 2011.
|
T. Wu, A. Pǎun, Z. Zhang, et al., "Spiking neural P systems with polarizations", IEEE Transactions on Neural Networks and Learning Systems, Vol.29, No.8, pp.3349-3360, 2018.
|
L. Pan, X. Zeng and X. Zhang, "Time-free spiking neural P systems", Neural Computation, Vol.23, No.5, pp.1320-1342, 2011.
|
S. Han, J. Pool, J. Tran, et al., "Learning both weights and connections for efficient neural networks", Twenty-ninth Conference on Neural Information Processing Systems, Palais des congrès de Montréal, Montréal, Canada, pp.1135-1143, 2015.
|
A. Segev, D. Curtis, S. Jung, et al., "Invisible brain:Knowledge in research works and neuron activity", Plos One, Vol.11, No.7, pp.1-21, 2016.
|
L. Pan, B. Song, A.K. Nagar, et al., "Language generating alphabetic flat splicing P systems", Theoretical Computer Science Vol.724, pp.28-34, 2018.
|
M. Buibas, E.M. Izhikevich, B. Szatmary, et al., "Neural network learning and collaboration apparatus and methods", Patent, 20140089232, U.S., 2014-03-27.
|
L. Pan, G. Pǎun, G. Zhang, et al., "Spiking neural P systems with communication on request", International journal of neural systems, Vol.27, No.08, ArticleID 1750042, 2017.
|
T. Song and L. Pan, "Spiking neural P systems with request rules", Neuron computing, Vol.193, No.21, pp.193-200, 2016.
|
B.Song and L.Pan, "Computational efficiency and universality of timed P systems with active membranes", Theoretical Computer Science, Vol.567, pp.74-86, 2015.
|
L. Pan, B. Song, V.C. Luis, et al., "The computational complexity of tissue P systems with evolutional symport/antiport rules". Complexity, Vol.2018, No.2, pp.1-21, 2018.
|
G. Zhang, H. Rong, F. Neri, et al., "An optimization spiking neural P system for approximately solving combinatorial optimization problems", International Journal of Neural Systems, Vol.24, No.5, pp.450-3642, 2014.
|
L. Pan, C. He, Y. Tian, et al., "A classification based surrogate-assisted evolutionary algorithm for expensive manyobjective Optimization", IEEE Transactions on Evolutionary Computation, Vol.23, No.1, pp.74-88, 2019.
|
T.O. Ishdorj, A. Leporati, L. Pan, et al., "Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources", Theoretical Computer Science, Vol.411, No.25, pp.2345-2358, 2010.
|
X. Zeng, T. Song, X. Zhang, et al., "Performing four basic arithmetic operations with spiking neural P systems", IEEE Transactions on Nano bioscience, Vol.11, No.4, pp.366-374, 2012.
|
J. Wang, H. Peng, M. Tu, et al., "A fault diagnosis method of power systems based on an improved adaptive fuzzy spiking neural P systems and PSO algorithms", Chinese Journal of Electronics, Vol.25, No.2, pp.320-327, 2016.
|
T. Song, A. Rodríguez-Patón, P. Zheng, et al., "Spiking neural P systems with colored spikes", IEEE Transactions on Cognitive & Developmental Systems, Vol.10, No.4, pp.1106-1115, 2017.
|
H. Schuldt, G. Alonso and H. Schek. "Concurrency control and recovery in transactional process management", Proceedings of the Eighteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, Philadelphia, Pennsylvania, United States, pp.316-326, 1999.
|
W. Yu, H. Zhao and X. Fang, "Reachability analysis Methods of E-commerce business process net", Acta Electronica Sinica, Vol.45, No.7, pp.1731-1739, 2017. (in Chinese)
|
Y. Zhang, G. Cui, X. Guo, et al., "A service composition optimization method based on task-granulating", Acta Electronica Sinica, Vol.46, No.1, pp.245-251, 2018. (in Chinese)
|
R. Mitkov. "Oxford handbook of computational linguistics". Literary & Linguistic Computing, Vol.18, No.3, pp.333-336, 2005.
|