Rough Sets and Artificial Neural Networks

作者: Marcin S. Szczuka

DOI: 10.1007/978-3-7908-1883-3_23

关键词:

摘要: This work is an attempt to summarize several approaches aimed at connecting Rough Set Theory with Artificial Neural Networks. Both methodologies have their place among intelligent classification and decision support methods. Networks belong most commonly used techniques in applications of Intelligence. During the last twenty years its development numerous theoretical applied works been done that field. which emerged about fifteen ago nowadays rapidly developing branch AI Soft Computing.

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