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.
This paper was supported by the State Committee for Scientific Research grant, KBN 8T11C01011.
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Son, N.H., Szczuka, M.S., Ślezak, D. (1997). Neural networks design: Rough set approach to continuous data. In: Komorowski, J., Zytkow, J. (eds) Principles of Data Mining and Knowledge Discovery. PKDD 1997. Lecture Notes in Computer Science, vol 1263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63223-9_135
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DOI: https://doi.org/10.1007/3-540-63223-9_135
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