In this chapter, we present the results of an empirical analysis of the ABG system of knowledge extraction from trained networks, using traditional examples and real-world application problems. The implementation of the system has been kept as simple as possible, and does not benefit from all the features of the theory presented in the previous chapter.
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© 2002 Springer-Verlag London
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d’Avila Garcez, A.S., Broda, K.B., Gabbay, D.M. (2002). Experiments on Knowledge Extraction. In: Neural-Symbolic Learning Systems. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0211-3_6
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DOI: https://doi.org/10.1007/978-1-4471-0211-3_6
Publisher Name: Springer, London
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