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Neural networks design: Rough set approach to continuous data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1997) 1263 359-366
DOI: 10.1007/3-540-63223-9_135
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Abstract

The construction of neural network based on decision rules generated by rough set methods is given. Analogies between neural network semantics and rough set approach to continuous data are pointed out. General framework states the initial point for such applications like, e.g., tuning decision rules by neural network learning process.

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Son, N. H., Szczuka, M. S., & Ślȩzak, D. (1997). Neural networks design: Rough set approach to continuous data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1263, pp. 359–366). Springer Verlag. https://doi.org/10.1007/3-540-63223-9_135

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