A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming

Expert Systems with Applications

Volumn 38, Issue 11, 2011, Pages 14026-14036

  Hsu, Chih Ming ^a  

^a MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Genetic programming; Self organizing map; Stock price prediction

Indexed keywords

EFFECTIVE TOOL; FUNCTIONAL RELATIONSHIP; HIGH VOLATILITY; HYBRID PROCEDURE; IMPLICIT RELATIONSHIPS; PREDICTION MODEL; PREDICTION PERFORMANCE; SAMPLE DATA; SELF ORGANIZING; SELF-ORGANIZING MAP NEURAL NETWORK; SOFTCOMPUTING TECHNIQUES; STOCK EXCHANGE; STOCK INDICES; STOCK PRICE; STOCK PRICE PREDICTION; TECHNICAL INDICATOR;

CONFORMAL MAPPING; COSTS; GENETIC PROGRAMMING; MATHEMATICAL MODELS; NEURAL NETWORKS; SOFT COMPUTING;

FORECASTING;

EID: 79959920299     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.210     Document Type: Article

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