期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

一种基于改进遗传算法的模糊建模方法 被引量：2

Novel Fuzzy-Modeling Method Based on Improved Genetic Algorithm
下载PDF
导出
摘要 针对复杂系统的模糊建模问题 ,提出了一种改进遗传算法的模糊建模方法。首先在标准的 T-S模糊模型基础上 ,提出了扩展的 T-S模糊模型。然后采用改进的遗传算法优化扩展的 T-S模糊模型参数和规则数。最后 ,通过数字仿真结果验证了算法的可行性和有效性。 A novel modeling method for improving genetic algorithm in complex systems is presented. Firstly, an extended T-S fuzzy model is obtained based on a standard T-S fuzzy model. Secondly, the parameters and rules of fuzzy model are optimized by the improved genetic algorithm. Finally, the digital simulation is performed to demonstrate the validity of the approach.
作者 邬沛雄 杨善水
机构地区 南京航空航天大学自动化学院
出处 《南京航空航天大学学报》 EI CAS CSCD 北大核心 2004年第6期787-792,共6页 Journal of Nanjing University of Aeronautics & Astronautics
关键词 扩展T-S模糊模型 遗传算法 建模方法 extended T-S fuzzy model genetic algorithm modeling method
分类号 TP273 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献8

  • 1Narendra K S, Pathasarathy K. Identification and control of dynamical systems using neural networks [J]. IEEE Trans Neural Networks, 1990,1(1):4～27.
  • 2Takagi T,Sugeno M. Fuzzy identification of systems and its applications to modeling and control [J].IEEE Trans System Man and Cyb, 1985,15(1):116～132.
  • 3Brindle A. Genetic algorithms for function optimization[D]. University of Alberta, 1981.
  • 4Takagi T,Sugeno M. Fuzzy identification of systems and its application to modeling and control[J]. IEEE Trans on Systems, Man and Cyb, 1985,15: 656～667.
  • 5Srinivas M, Patnaik L M. Adaptive probabilities of crossover and mutation in genetic algorithm [J].IEEE Trans on Systems, Man and Cyb, 1994, 24(4):656～667.
  • 6De Jong K A. An analysis of the behavior of class of genetic adaptive systems[D]. University of Michigan, 1975, (76-9381).
  • 7廉小青.模糊控制技术[M].北京:中国电力出版社,2003.
  • 8Tanaka M, Ye J, Tetsuzo. Fuzzy modeling by genetic algorithm with tree-structured individuals[J].International Journal of System Science, 1996, 27(2) :261～268.

同被引文献17

  • 1陈国初,俞金寿.微粒群优化算法[J].信息与控制,2005,34(3):318-324. 被引量：59
  • 2Takagi T, Sugeno M. Fuzzy identification of systems and its application to modeling and control[J]. IEEE Trans. of Systems,Man and Cybernetics, 1985, 15 (1) : 116 - 132.
  • 3Kennedy J, Eberhart R C. Particle swarm optimization[C]//Proceeding of IEEE International Conference on Neural Networks, New York, NY, USA: IEEE, 1995: 1942- 1948.
  • 4Eberhart R C, Kennedy J. A new optimizer using particle swarm theory[C]// Proceedings of the Sixth International Symposium on Micro Machine and Human Science, New York, USA: IEEE, 1995: 39-43.
  • 5Kennedy J, Eberhart RC. Adiscrete binary version of the particle swarm algorithm[C]//Proceedings of the 1997 Internation al Conference on Systems, Man and Cybernetics, New York, USA, IEEE, 1997:4104-4109.
  • 6Van den bergh F. Engelbrecht A P. Cooperative learning in neu ral networks using particle swarm optimizers[J]. South Africa Computer Journal, 2000, 26: 84-90.
  • 7Van den bergh F. An analysis of particle swarm optimizers[D].Department of Computer Science, University of Pretoria, Pretoria, South Africa, 2002.
  • 8Kennedy J, Spears W N. Matching algorithm to problem: an experimental test of the particle swarm and some genetic algo rithms on multimodal problem generator[C]//Proc.of the In ternational Conference on Evolutionary Computation, Anchorage, Alaska, USA, 1998:78-83.
  • 9Tanaka M, Ye J, Tanino T . Fuzzy modeling by genetic algorithm with tree-structured individuals[J]. International Journal of System Science, 1996, 27(2):261 - 268.
  • 10王书舟,伞冶.基于混沌神经网络的复杂系统建模方法研究[A]全球化制造高级论坛暨世纪仿真技术研讨会论文集,2004.

引证文献2

二级引证文献1

南京航空航天大学学报
2004年 第6期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部