计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 626-630.doi: 10.11896/JsJkx.190500120
罗云芳1, 唐承娥1, 韦军2
LUO Yun-fang1, TANG Cheng-e1 and WEI Jun2
摘要: 脉冲神经膜系统是受到神经生物系统中神经元相互协作处理脉冲过程的启发而提出的一种新的计算模型。为了更进一步反映生物系统随机性的特点,文中首先提出一种新脉冲神经系统——粗糙规则脉冲神经膜系统,用上下近似概念来确立神经元的激活条件;然后证明了改进后脉冲神经膜系统的计算完备性;最后研究系统产生自动化语言能力来说明其具有很强的计算能力。
中图分类号:
[1] PUN G.Computing with membranes.Joural of Computer and System Sciences,2000,61(1):108-143. [2] PUN G.Membrane Computing.Berlin:Springer-Verlag,2002. [3] CIOBANU G,PUN G,PREZ-JIMENEZ M,et al.Applica-tions of Membrane Computings.Springer,2006:89-95. [4] PUN G,ROZENBERG G,SALOMAA A.The Oxford Handbook of Membrane Computing.Oxford University Press,2010:345-353. [5] IONESCU M,PUN G YOKOMORI T.Spiking neural P systems.Fundamenta Informaticae,2006,71(2/3):279-308. [6] PAN l,PAUN G.New Normal Forms for Spiking Neural P Systems//BWMC.2009:127-138. [7] IBARRA O,PUN A,PUN G,et al.Normal forms for spiking neural P systems.Theoretical Computer Science,2007,372(2/3):196-217. [8] PUN A,PUN G.Small universal spiking neural P systems.Biosystems,2007,90(l):48-60. [9] CHEN H,IONESCU M,PREZ-JIMNEZ M J,et al.On string languages generated by spiking neural P systems.Fundamenta Informaticae,2007,75(1/2/3/4):141-162. [10] IBARRA O,WOODWORTH S.Characterizing regular languages by spiking neural P systems.Intenational Journal of Foundations of Computer science,2007,18(6):1247-1256. [11] CHEN H,IONESCU M,PUN A,et al.On trace languages generated by spiking neural P systems//Proceedings of Eighth International Workshop on Descriptional Complexity of Formal Systems.2006:94-105. [12] NEARY T.A small universal spiking neural P system.Intern.Workshop.Computing with Biomolecules//Viena.2008:65-74. [13] LEPORATI A,ZANDRON C,FERRETTI C,et al.On the computational power of spiking neural P systems.International Journal of Unconventional Computing,2009,5(5):459-473. [14] WANG J,ISHDORJ T O,PAN L.About Efficiency of spiking neural P systems//BWMC.2009:235-252. [15] IONESCU M,SBURLAN D.Some applications of spiking neural P systems.Computing and Informatics,2008,27:515-528. [16] GUTIRREZ-NARANJO M,LEPORATI A.First steps to wards a CPU made of spiking neural P systems.International Journal of Computers Comnunications & Control,2009,4(3):244-252. [17] METTA V,KRITHIVASAN K,GARG D.Modeling spikingneural P systems using timed Pettri nets//proceedings of Nature Biologically Inspired Computing.2009:25-30. [18] CETERCHI R,TOMESCU A.Implementing sorting networks with Spiking neural P systems.Fundamenta Informaticae,2008,87(l):35-48. [19] REID D,BARRETT-BAXENDALE M.Spatiotemporal Proces- [20] sing in a spiking neural P system//Proceedings of Second International Conference on Developments in Systems Enginee-ring.2010:394-399. [21] WANG J,PENG H.Fuzzy knowledge representation based on an improving spiking neural P system//Proceedings of Sixth International Conference on Natural Computation.2010:3012-3015. [22] WANG T,WANG J,PENG H,et al.Knowledge representation using fuzzy spiking neural p system//Proceedings of IEEE Fifth International Conference on Bio Inspired Computing:Theories and Applications.2010:586-590. [23] PENG H,WANG J.Adaptive spiking neural P systems//Proceedings of Sixth International Conference on Natural Computation.2010:3008-3011. [24] WU T F,ZHANG Z Q,PUN G,et al.Cell-like spiking neural P systems.Theoretical Computer Science,2016,623:180-189. [25] WU T F,ZHANG Z Q,PAN L Q.On languages generated by cell-like spiking neural P systems.IEEE Transactions on Nanobioscience,2016,15(5):455-467. [26] WU T F,PUN A,ZHANG Z Q,et al.Spiking neural P systems with polarizations.IEEE Transactions on Neural Networks and Learning Systems,2018,29(8):3349-3360. [27] GUTIRREZ-NARANJO M,PREZ-JIMNEZ M.A Spiking Neural P system based model for Hebbian Learning//Proceedings of Ninth Works hop on Membrane Computing.2008,189-207. [28] IONESCU M,TIRNAUEA C.Dreams and spiking neural P systems.Romanian Journal of Information Science andTechno-logy,2009,12(2):209-217. [29] HOPCROFT J,MOTWANI R,ULLMAN J.Introduction toAutomata Theory,Languages and Computation.Reading,Mass.Addison-Wesley,1979(32):20-25. [30] CHOMSKY N.Three models for the description of language .IRE Transactions on Information Theory,1956,2(3):113-124. [31] CHOMSKY N.On certain formal Properties of grammars.Information and Control,1959,2(2):137-167. [32] MINSKY M.Computation:Finite and Infinite Machines.New Jersey:Prentice-Hall,1967. [33] PAWLAK Z.Rough Sets.Theoretical Aspects of Reasoning About Data.Kluwer,Dordrecht,1991. [34] PAWLAK Z.A treatise on rough sets//Transactions onRough Sets.Berlin:Springer-Verlag,2005:1-17. [35] WU T F,BLBE F D,PUN A,et al.Ferrante Neri:Simplified and yet Turing universal spiking neural P systems with communication on request.International Journal of Neural Systems,28(8):1850013. |
[1] | 张露萍, 徐飞. 具有突触规则的脉冲神经膜系统综述 Survey on Spiking Neural P Systems with Rules on Synapses 计算机科学, 2022, 49(8): 217-224. https://doi.org/10.11896/jsjkx.220300078 |
[2] | 殷秀, 刘希林, 刘希玉. 具有多个突触通道的新型数值脉冲神经P系统的计算能力研究 Study on Computing Capacity of Novel Numerical Spiking Neural P Systems with MultipleSynaptic Channels 计算机科学, 2022, 49(6A): 223-231. https://doi.org/10.11896/jsjkx.210200171 |
[3] | 寇光杰,马云艳,岳峻,邹海林. 膜计算在图像处理中应用的研究进展及展望 Research Advance and Prospect of Membrane Computing Applied in Image Processing 计算机科学, 2014, 41(Z11): 139-143. |
[4] | 程珍. 自组装DNA计算的研究进展及展望 Research Advances and Prospect of DNA Computing by Self-assembly 计算机科学, 2012, 39(5): 14-18. |
[5] | 李燕. 计算科学的新领域:DNA计算(Ⅱ) 计算机科学, 2006, 33(2): 155-157. |
[6] | 李燕. 计算科学的新领域:DNA计算(Ⅰ) 计算机科学, 2006, 33(1): 202-204. |
[7] | 吴帆 叶懋 陈贵海. 广域网虚拟平台:网格计算和对等计算的融合 计算机科学, 2005, 32(5): 23-26. |
[8] | 胡海星 宋方敏. 一种基于算盘的 —算盘机 计算机科学, 2004, 31(1): 98-102. |
|