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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Elfadil, N., Khalil, M., Nor, S.M., Hussein, S.: Machine Learning: The Automation of Knowledge Acquisition Using Kohonen Self-Organizing Maps Neural Networks. Proceeding of Malaysian Journal of Computer Science, Malaysia, June 2001 14(1), 68–82 (2001)
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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
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