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Knowledge Network Management System with Medicine Self Repairing Strategy

  • JeongYon Shim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4684)

Abstract

In the complex information environment, the role of intelligent system is getting high and it is essential to develop a smarter and more efficient intelligent system for processing automatic knowledge acquisition, structuring the memory efficient to store and retrieving the related information and repairing the system automatically. Focusing on the self repairing system, in this study Medicine Self Repairing Strategy for knowledge network management is designed. The concepts of Self type, Internal Entropy, medicine treatment are defined for modeling Self Repairing System. We applied this proposed system to virtual memory consisting of knowledge network and tested the results.

Keywords

Knowledge network management strategy Internal entropy medicine 

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References

  1. 1.
    Shim, J.-Y.: Knowledge Retrieval Using Bayesian Associative Relation in the Three Dimensional ModularSystem. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 630–635. Springer, Heidelberg (2004)Google Scholar
  2. 2.
    Anderson, J.R.: Learning and Memory. Prentice Hall, Englewood CliffsGoogle Scholar
  3. 3.
    Fausett, L.: Fundamentals of Neural Networks. Prentice Hall, Englewood CliffsGoogle Scholar
  4. 4.
    Haykin, S.: Neural Networks. Prentice Hall, Englewood CliffsGoogle Scholar
  5. 5.
    Shim, J.-Y., Hwang, C.-S.: Data Extraction from Associative Matrix based on Selective learning system. In: IJCNN 1999, Washongton, DC (1999)Google Scholar
  6. 6.
    Anderson, J.R.: Learning and Memory. Prentice Hall, Englewood CliffsGoogle Scholar
  7. 7.
    Shim, J.-Y.: Automatic Knowledge Configuration by Reticular Activating System. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005. LNCS, vol. 3610, Springer, Heidelberg (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • JeongYon Shim
    • 1
  1. 1.Division of General Studies, Computer Science, Kangnam University San 6-2, Kugal-Dong, Kihung-Gu,YongIn Si, KyeongKi DoKorea

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