Knowledge discovery in corporate events by neural network rule extraction

Applied Intelligence

Volumn 29, Issue 2, 2008, Pages 129-137

  Dong, Ming ^a   Zhou, Xu Shen ^b  

^a Wayne State University   (United States)

^b SUNY POLYTECHNIC INSTITUTE   (United States)

Author keywords

Computational finance; Corporate events; Knowledge discovery; Neural network

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; EXTRACTION; IMAGE CLASSIFICATION; KNOWLEDGE BASED SYSTEMS; LAWS AND LEGISLATION; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; COMPUTATIONAL FINANCE; CORPORATE EVENTS; EXTRACT KNOWLEDGE; FIRM SIZE; FUNCTION APPROXIMATIONS; KNOWLEDGE DISCOVERY; NEURAL NETWORK; PATTERN CLASSIFICATIONS; RULE EXTRACTION; RULE EXTRACTION METHOD; SMALL FIRMS; STOCK PRICES; TRAINED NEURAL NETWORKS; UNDER REACTION;

NEURAL NETWORKS;

EID: 49049117332     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-007-0053-3     Document Type: Article

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