Contents Special Issue : Recent Advances in Computer Science and Engineering - Track on Computers

نویسندگان

  • Yun Liu
  • Fei Yu
  • Chin-Chen Chang
  • Dongfeng Yuan
  • Yiqin Lu
  • Yaping Lu
  • Yunjia Wang
  • Jian Shu
  • Yebin Chen
  • Linlan Liu
  • Sheng Zhang
  • Cungen Cao
  • Yanjun Shang
  • Xuejun Wu
  • Jing-ying Zhao
  • Limin Meng
  • Kai Zhou
  • Zhijiang Xu
  • Benjamin J. Ford
  • Haiping Xu
  • Christopher K. Bates
  • Minghua Zhu
  • Xiumin Fan
  • Huanchong Cheng
  • Qichang He
  • Huawang Zeng
چکیده

Artificial Immune technology, a resource limitedartificial immune classifier system,has performed well onelementary classification tasks. This paper presents oneform of mapping Artificial Immune Systems (AIS) intoLearning Classifier Systems for fault diagnosis. We proposea novel ideal to apply semantics in immune models. Similarto Learning Classifier Systems, a better understanding ofAIS can be obtained when they are analysed under theperspective of complex Semantic system. One of the goalshere is to determine complementary features of bothsystems (Semantic systemand AIS), aiming at providing anovel mapping conception for fault diagnosis. Ourmotivation comes from the use of a semantic structure fordiagnosis of mine hoist based AIS.

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تاریخ انتشار 2010