Extracting rules from a (fuzzy/crisp) re
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A. Blanco; M. Delgado; M. C. Pegalajar
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Article
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2000
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John Wiley and Sons
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English
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Although the extraction of symbolic knowledge from trained feedforward neural net-ลฝ . works has been widely studied, research in recurrent neural networks RNN has been more neglected, even though it performs better in areas such as control, speech recognition, time series prediction, etc. Nowadays,