1 |
Atsalakis G. S. and K. P. Valavanis, "Surveying stock market forecasting techniques?Part II: Soft computing methods", Expert Systems with Applications, Vol.36, No.3(2009a), 5932-5941.
DOI
ScienceOn
|
2 |
Granger C., "Some Properties of Time Series Data and Their Use in Econometric Model Specification", Journal of Econometrics, Vol.16, No.1(1981), 121-130.
DOI
ScienceOn
|
3 |
Nunez-Letamendia, L., "Fitting the control parameters of a genetic algorithm : An application to technical trading systems design", European Journal of Operational Research, Vol.179, No.3(2007), 847-868.
DOI
ScienceOn
|
4 |
Sollich, P., "Bayesian Methods for Support Vector Machines : Evidence and Predictive Class Probabilities", Machine Learning, Vol.46, No.1-3(2002), 21-52.
DOI
|
5 |
안현철, 김경재, 한인구, "효과적인 고객관계관리를 위한 사례기반추론 동시 최적화 모형", 한국지능정보시스템학회논문지, 11권 2호(2005a), 175-195.
과학기술학회마을
|
6 |
안현철, 김경재, 한인구, "Support Vector Machine을 이용한 고객구매예측모형", 한국지능정보시스템학회논문지, 11권 3호(2005b), 69-82.
과학기술학회마을
|
7 |
Schwager, J. D., The New Market Wizards : Conversations with America's Top Traders, Harper Business, 1992.
|
8 |
Sullivan R., Timmermann A., and H. White, "Data snooping, technical trading rule performance, and the bootstrap", The Journal of Finance, Vol.LIV(1999), 1647-1691.
|
9 |
Tay, F. E. J. and L. J. Cao, "Modified support vector machines in financial time series forecasting", Neurocomputing, Vol.48, No.1-4(2002), 847-861.
DOI
|
10 |
Vapnik, V., Statistical Learning Theory, Wiley, 1998.
|
11 |
Yudong, Z. and W. Lenan, "Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network", Expert Systems with Applications, Vol.36, No.5(2009), 8849-8854.
DOI
ScienceOn
|
12 |
Atiya, A., N. Talaat and S. Shaheen, "An efficient stock market forecasting model using neural networks", Proceedings of the IEEE International Conference on Neural Networks, 2112-2115, 1997.
|
13 |
McMillan, D. G., "Non-linear forecasting of stock returns: Does volume help?", International Journal of Forecasting, Vol.23, No.1(2007), 115-126.
DOI
ScienceOn
|
14 |
Atsalakis G. S. and K. P. Valavanis, "Forecasting stock market short term trends using a neuro fuzzy based methodology", Expert Systems with Applications, Vol.36, No.7(2009b), 10696-10707.
DOI
ScienceOn
|
15 |
Bao, D. and Z.Yang, "Intelligent stock trading system by turning point confirming and probabilistic reasoning", Expert Systems with Applications, Vol.34, No.1(2008), 620-627.
DOI
ScienceOn
|
16 |
Caporale, G. M. and U. N. Pittis, "Cointegration and predictability of asset prices", Journal of International Money and Finance, Vol.17, No.3(1998), 441-453.
DOI
ScienceOn
|
17 |
Schulmeister, S., "Profitability of technical stock trading : Has it moved from daily to intraday data?", Review of Financial Economics, Vol.18, No.4(2009), 190-201.
DOI
ScienceOn
|
18 |
McNelis, P. D., Neural Networks in Finance: Gaining the Predictive Edge in the Market, Elsevier Academic Press, 2005.
|
19 |
Olson, D. and C. Mossman, "Neural network forecasts of Canadian stock returns using accounting ratios", International Journal of Forecasting, Vol.19, No.3(2003), 453-465.
DOI
ScienceOn
|
20 |
Platt, J., "Probabilistic outputs for support vector machines and comparison to regularized likelihood methods", In A. J. Smola, P.L. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, Cambridge, MA, 2000. MIT Press.
|
21 |
이재식, 송영균, 허성회, "인공신경망 앙상블을 이용한 옵션 투자예측 시스템", 한국지능정보시스템학회 2000년 학술대회 2권, 489-497, 2000.
|
22 |
안현철, 이형용, "투자의사결정 지원을 위한 유전자 알고리즘 기반의 다중인공지능기법 결합 모형", e-비즈니스 연구, 10권 1호(2009), 267-288.
|
23 |
안현철, 이형용, 김경재, "효과적인 투자의사결정 지원을 위한 인공지능 결합모형 : KOSPI200 지수에의 응용", 2009 한국BI데이터마이닝학회 춘계학술대회, 407-415, 2009.
|
24 |
옥중경, 김경재, "유전자 알고리즘 기반의 기업부실예측 통합모형", 지능정보연구, 15권 4호(2009), 97-118.
과학기술학회마을
|
25 |
이형용, "한국 주가지수 등락 예측을 위한 유전자 알고리즘 기반 인공지능 예측기법 결합모형", Entrue Journal of Information Technology, 7권 2호(2008), 33-43.
|
26 |
홍승현, 신경식, "유전자알고리즘을 활용한 인공신경망모형 최적입력변수의 선정 : 부도예측모형을 중심", 한국지능정보시스템학회논문지, 9권 1호(2003), 227-247.
과학기술학회마을
|
27 |
홍태호, 신택수, "Using Estimated Probability from Support Vector Machines for Credit Rating in IT Industry", 한국지능정보시스템학회-웹코리아포럼 2005 공동추계정기학술대회, 509-515, 2005.
|
28 |
Ahn, H., K. j. Kim and I. Han, "Determining the optimal number of cases to combine in an effective case based reasoning systemusing genetic algorithms", Proceedings of International Conference of Korea Intelligent Information Systems Society 2003 (ICKI-ISS2003), 178-184, 2003.
|
29 |
Ahn, H., C. Song, J. J. Ahn, H. Y. Lee, T. Y. Kim, and K. J. Oh, "Using Hybrid Data Mining Techniques for Facilitating Crossselling of a Mobile Telecom Market to Develop Customer Classification Model", The 43th Hawaii International Conference on System Sciences(HICSS-43), Hawaii, USA, 2010.
|
30 |
Alexander, S. S., "Price movements in speculative markets : trends or random walks", Industrial Management Review, Vol.2, No.2(1961), 7-26.
|
31 |
Elton, E. J. and M. J. Gruber, Modern Portfolio Theory and Investment Analysis, Wiley, 1984.
|
32 |
Chang, C.-C. and C.-J. Lin, LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
|
33 |
Chavarnakul T. and D. Enke, "A hybrid stock trading system for intelligent technical analysis based equivolume charting", Neurocomputing, Vol.72, No.16-18(2009), 3517-3528.
DOI
ScienceOn
|
34 |
Casas C. A., "Tactical asset allocation : An artificial neural network based model", Proceedings of the International Joint Conference on Neural Networks, 1811-1816, 2001.
|
35 |
Fama, E. F., "The Behavior of Stock Market Prices", Journal of Business, Vol. XXXVIII(1965), 34-105.
|
36 |
Kim, K.-j., "Financial time series forecasting using support vector machines", Neurocomputing, Vol.55, No.1-2(2003), 307-319.
DOI
ScienceOn
|
37 |
Kim, K. j. and I. Han, "Application of a hybrid genetic algorithm and neural network approach in activity based costing", Expert Systems with Applications, Vol.24, No.1 (2003), 73-77.
DOI
ScienceOn
|
38 |
Kim, K.-j. and W. B. Lee, "Stock market prediction using artificial neural networks with optimal feature transformation", Neural Computing and Applications, Vol.13, No.3 (2004), 255-260.
DOI
ScienceOn
|