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Volumn 1, Issue , 2008, Pages 1223-1225

Neural network approach based on agent to predict stock performance

Author keywords

Agent; Artificial neural network; Cross target scheme; Swarm simulation toolkit

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BASIC CONCEPTS; CROSS TARGET SCHEME; SOFTWARE SIMULATIONS; STOCK MARKET PERFORMANCE; STOCK PERFORMANCE; SWARM SIMULATION TOOLKIT; WESTERN COUNTRIES;

EID: 61849157324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.1218     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 1
    • 4243914758 scopus 로고
    • Stock Price Prediction Using Neural Networks: A Project Report, Neuro-computing
    • Schoeneburg, E., Stock Price Prediction Using Neural Networks: A Project Report, Neuro-computing, vol. 2, 1990, pp. 17-27.
    • (1990) , vol.2 , pp. 17-27
    • Schoeneburg, E.1
  • 7
    • 33744909262 scopus 로고    scopus 로고
    • Self-Development of Consistency in Agents' Behavior
    • F. Luna and B. Stefansson eds, Dordrecht and London, Kluwer Academic
    • Pietro Terna (2000a). Self-Development of Consistency in Agents' Behavior, in F. Luna and B. Stefansson (eds.), Economic Simulations in Swarm: Agent-Based Modeling and Object Oriented Programming. Dordrecht and London, Kluwer Academic, 2000.
    • (2000) Economic Simulations in Swarm: Agent-Based Modeling and Object Oriented Programming
    • Terna, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.