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Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

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Abstract

This is paper presents an approach for automated knowledge acquisition system using Kohonen self-organizing maps and k-means clustering. For the sake of illustrating the system overall architecture and validate it, a data set represent world animal has been used as training data set. The verification of the produced knowledge based had done by using conventional expert system.

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References

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© 2003 Springer-Verlag Berlin Heidelberg

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Elfadil, N., Isa, D. (2003). Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_20

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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