Predicting stock price using neural networks optimized by differential evolution with degeneration

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 12, 2009, Pages 5021-5031

  Takahama, Tetsuyuki ^a   Sakai, Setsuko ^b   Hara, Akira ^a   Iwane, Noriyuki ^a  

^a HIROSHIMA CITY UNIVERSITY   (Japan)

^b HIROSHIMA SHUDO UNIVERSITY   (Japan)

Author keywords

Degeneration; Differential evolution; Prediction; Stock price

Indexed keywords

CROSSOVER OPERATIONS; DIFFERENTIAL EVOLUTION; ESTIMATION ERRORS; ESTIMATION MODELS; ESTIMATION SYSTEMS; GAUSSIAN MUTATION; GENERALIZATION ABILITY; GENETIC DAMAGE; INVERSE MAPPING; MULTI-MODAL; NON-LINEAR; STOCK PRICE; STRUCTURAL LEARNING; TEST DATA;

COSTS; ESTIMATION; GENETIC ALGORITHMS; LEARNING ALGORITHMS;

FUZZY NEURAL NETWORKS;

EID: 74349110895     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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