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Intelligent Knowledge Capsule Design for the Multi Functional Aspects

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Bio-Inspired Computational Intelligence and Applications (LSMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4688))

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Abstract

Every Intelligent technique has its strong and weak point and its appropriate application area is different. For making more intelligent system, sometimes it needs to assemble the different technology. On this purpose, Intelligent Knowledge Capsule assembling connective learning of neural network and logical conceptual learning was developed for multiple aspects in this paper. Focusing on the structural memory and knowledge retrieval We apply this mechanism to virtual memory and test the retrieving process.

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References

  1. Shim, J.-Y.: Knowledge Retrieval Using Bayesian Associative Relation in the Three Dimensional Modular System. In: Yu, J.X., Lin, X., Lu, H., Zhang, Y. (eds.) APWeb 2004. LNCS, vol. 3007, pp. 630–635. Springer, Heidelberg (2004)

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  2. Anderson, J.R.: Learning and Memory. Prentice Hall, Englewood Cliffs

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  3. Fausett, L.: Fundamentals of Neural Networks. Prentice Hall, Englewood Cliffs

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  4. Haykin, S.: Neural Networks. Prentice Hall, Englewood Cliffs

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  5. Shim, J.-Y., Hwang, C.-S.: Data Extraction from Associative Matrix based on Selective learning system. In: IJCNN 1999, Washington, DC (1999)

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  6. Anderson, J.R.: Learning and Memory. Prentice Hall, Englewood Cliffs

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Author information

Authors and Affiliations

  1. Division of General Studies, Computer Science, Kangnam University, San 6-2, Kugal-ri, Kihung-up,YongIn Si, KyeongKi Do, Korea

    JeongYon Shim

Authors
  1. JeongYon Shim
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Editor information

Kang Li Minrui Fei George William Irwin Shiwei Ma

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© 2007 Springer-Verlag Berlin Heidelberg

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Shim, J. (2007). Intelligent Knowledge Capsule Design for the Multi Functional Aspects. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_76

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  • DOI: https://doi.org/10.1007/978-3-540-74769-7_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74768-0

  • Online ISBN: 978-3-540-74769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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