최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국지능시스템학회 논문지 = Journal of Korean institute of intelligent systems, v.19 no.5, 2009년, pp.689 - 694
황희수 (한라대학교 전기전자과) , 오진성 (한라대학교 전기전자과)
In this paper an approach to building fuzzy models for predicting daily and weekly stock prices is presented. Predicting stock prices with traditional time series analysis has proven to be difficult. Fuzzy logic based models have advantage of expressing the input-output relation linguistically, whic...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
R. G. Palmer, W. B. Arthur, J. H. Holland, and B. Le Baron, 'An Artificial Stock Market', Artificial Life and Robotics, Vol. 3, 1998
B. M. Louis, Trend forecasting with technical analysis, Marketplace BOOKS, 2000
S. M. Kendall and K. Ord, Time Series, Oxford, 1997
L. C. H. Leon, A. Liu and W. S. Chen, 'Pattern discovery of fuzzy time series for financial prediction', IEEE Trans. Knowledge and Data Engineering, Vol. 18, No. 5, pp. 613-625, 2006
D .R. Jobman, The handbook of technical analysis, Chicago, Illinois: Probus pubiishing, 1995
K. H. Lee and G. S. Jo, 'Expert system for predicting stock market timing using a candlestick chart', Expert System With Applications, Vol. 16, pp. 357-364, 1999
T. J. Beckman, 'Stock Market Forecasting Using Technical Analysis', The World Congress on Expert System Proc., pp.2512-2519, 1991
K. Nygren, Stock Prediction: A neural network approach, Master Thesis, Royal Institute of Technology, KTH, March, 2004
Y. Tang, F. Xu, X. Wan and Y. Q. Zhang, 'Web-based fuzzy neural networks for stock prediction', Computational Intelligence and Applications, pp. 169-174, 2002
G. Armano, M. Marchesi and A. Murru, 'A hybrid genetic-neural architecture for stock indexes forecasting', Inforamtion Sciences, Vol. 170, No. 1, pp. 3-33, 2005
P. C. Chang and C. H. Liua, 'A TSK type fuzzy based system for stock price prediction', Expert Systems with Applications, Vol. 34, No. 1, pp. 135-144, 2008
M. H. Zarandi, E. Neshat, I. B. Turksen and B. Rezaee, 'A type-2 fuzzy model for stock market analysis', Fuzzy System Conf., FUZZ-IEEE, pp. 1-6, July 2007
J. L. Wanga and S. H. Chanb, 'Stock market trading rule discovery using two-layer bias decision tree', Expert Systems with Applications, Vol. 30, No. 4, pp. 605-611, May 2006
Fan and M. Palaniswami, 'Stock selection using support vector machines', Proceedings IJCNN 2001, Vol.3, pp. 1793-1798, 2001
M. Noor and R. H. Khokhar, 'Fuzzy Decision Tree for Data Mining of Time Series Stock Market Databases', Critical Assessment of Mocroarray Data Analysis Conference, November 11-12, 2004
P. Giudici, Applied Data Mining, Statistical Methods for Business and Industry, Wiley, 2003
M. Sugeno and T. Yasukawa, 'A fuzzy logic based approach to qualitative modeling', IEEE Trans. Fuzzy Syst., Vol. 1, No. 1, pp. 7-31, 1993
T. Takagi and M. Sugeno, 'Fuzzy identification of systems and its application to modeling and control', IEEE Trans. Syst. Man. Cybern., Vol. 15, pp. 116-132, 1985
H. S. Hwang, 'Automatic design of fuzzy rule base for modeling and control using evolutionary programming', IEEE Proc-Control Theory Appl., Vol. 146, No. 1, pp. 9-16, 1996
S. J. Kang, C. H. Woo, H. S. Hwang and K. B. Woo, 'Evolutionary design of fuzzy rule base for nonlinear system modeling and control', IEEE Trans. Fuzzy Systems, Vol. 8, No. 1, pp. 37-44, 2000
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.