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)

Volumn 1263, Issue , 1997, Pages 359-366

  Son, Nguyen Hung ^a   Szczuka, Marcin S ^a   Ślȩzak, Dominik ^a  

^a UNIVERSITY OF WARSAW   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; SEMANTICS;

CONTINUOUS DATA; DECISION RULES; INITIAL POINT; NEURAL NETWORK LEARNING;

ROUGH SET THEORY;

EID: 84947769593     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63223-9_135     Document Type: Conference Paper

References (10)

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8. Skowron, A., Rauszer, C. (1992), The Discernibility Matrices and Functions in Information Systems. In: R.Slowinski (ed.), Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory. Kluwer, Dordrecht, pp.331-362.
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10. Vapnik, V.N. (1995). The Nature of Statistical Learning Theory. Springer-Verlag, New York.