iJADE stock advisor: An intelligent agent based stock prediction system using hybrid RBF recurrent network

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

Volumn 34, Issue 3, 2004, Pages 421-427

  Lee, Raymond S T ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

iJADE model; Intelligent agents; Nuero oscillatory model; Recurrent neural network; Stock prediction

Indexed keywords

COMPUTER SIMULATION; INVENTORY CONTROL; JAVA PROGRAMMING LANGUAGE; RADIAL BASIS FUNCTION NETWORKS; RECURRENT NEURAL NETWORKS;

STOCK FORECASTS; STOCK PREDICTION SYSTEM;

INTELLIGENT AGENTS;

EID: 2442591660     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2004.824871     Document Type: Article

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