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基于人工免疫网络的联想记忆器 被引量：3

Associative Memory Unit Based on Artificial Immune Network
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摘要 本文提出一种利用人工免疫网络模型设计联想记忆器的方法。着重指出通过定义适当的补充机制形式,人工免疫系统如何应用 于解决联想记忆问题,仿真结果与其他熟知的模型所得结果进行了比较。 The paper presents a design method of association memory unit by means of artificial immune network model, emphatically points out haw artificial immune system is applied to the realization of association memory, by defining proper complement mechanism . Imula-tion result is compared with the result from other known models.
作者 莫宏伟
机构地区 哈尔滨工程大学自动化学院
出处 《自动化技术与应用》 2002年第1期18-20,共3页 Techniques of Automation and Applications
关键词 联想记忆器 神经网络 人工免疫网络 人工智能 immune system artificial immune network association memory neuronetwork
分类号 TP183 [自动化与计算机技术—控制理论与控制工程]
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参考文献10

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同被引文献17

  • 1王柳毅,熊伟清.并行二进制蚁群算法的多峰函数优化[J].计算机工程与应用,2006,42(22):42-45. 被引量：8
  • 2Eberhart R C,Shi Y. Particle swarm optimization:Developments, applications and resources [ C ]//Institute for Electrical and Electronic Engineers, Proc. 2001 Congress on Evolutionary Computation. Seoul, South korea,2001 : 81-86.
  • 3Cao Chengzhi, Zhang Yanehao, Zhang Qidong, et al. Research of stator resistance detector based on wavelet neural network adjusted by ant colony optimization[ C ]//International Committee on Measurements and Instrumentation,3rd International Symposium on Instrumentation Science and Technology. Xi' an, China ,2004 : 1073-1077.
  • 4Li J B, Chung yun kung. A novel back-propagation neural network training algorithm designed by an ant colony opfimization[ C]//Institute for Electrical and Electronic Engineers,Transmission and Distribution Conference and Exhibition. Asia and Pacific. Dalian, China ,2005 : 1-5.
  • 5Leandro N D C, Fernando J ,Von Z. Learning and optimization using the clonal selection principle [ J ]. IEEE Trans. on Evolutionary computation, Special Issue on Artifical Immune Systems,2002,6 ( 3 ) :239-251.
  • 6Eberchart R C ,Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization[ C]//Institute for Electrical and Electronic Engineers,Prec. of 2000 Congress on Evolutionary Computation. California,USA,2000:84-88.
  • 7Timims J, Neal M. A resource limited artificial immune system for data analysis[ J]. Knowledge Based Systems ,2001, 14(324) :121-130.
  • 8Watkins A,Timmis J, Boggess L. Artificial immune recognition system(AIRS) : An immune-inspired supervised learning algorithm [ J ]. Genetic Programming and Evolvable Machines ,2004,5 ( 3 ) :291-317.
  • 9De Castro L N, Timmis J. An artificial immune netwok for multi-modal function optimization[C]//Institute for Electrical and Electronic Engineers,Proc. 2002 Congress on Evolutionary Computation. Honolulu, Hawaii, USA ,2002:699-704.
  • 10Bersini Varela. The Immune Learning Mechanisms: Reinforcement,Recruitment and Their Applications [ M ]. Computing with Biological Metaphors Chapman & Hall, New York, USA, 1994 : 166-192.

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自动化技术与应用
2002年 第1期

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