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Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)

Volumn 33, Issue 5, 2005, Pages 19-22

Modified SVM and its application to time series forecasting

(2) Feng, Guo He a Zhu, Si Ming a

a SUN YAT SEN UNIVERSITY (China)

Author keywords

Decomposition cooperation weighted support vector machine; Stock index; Support vector machine; Time series

Indexed keywords

CACHE MEMORY; DECOMPOSITION; FORECASTING; MACHINE DESIGN; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

ERROR PUNISHMENT DEGREES; MEMORY SPENDING; STOCK INDEX; TRAINING SPEED;

COMPUTER ARCHITECTURE;

EID: 22844437897 PISSN: 1000565X EISSN: None Source Type: Journal
DOI: None Document Type: Article

Times cited : (4)

References (9)

1
- 0003991806
- New York: Wiley
- Vapnik V N. Statistical Learning Theory [M]. New York: Wiley, 1998.
- (1998) Statistical Learning Theory
- Vapnik, V.N.¹

2
- 0003450542
- New York: Springer
- Vapnik V N. The Nature of Statistical Learning Theory [M]. New York: Springer, 1999.
- (1999) The Nature of Statistical Learning Theory
- Vapnik, V.N.¹

3
- 0003120218
- Fast training of support vector machines using sequential minimal optimization
- Scholkopf B., Burges C. and Smola A., Cambridge: MIT Press
- Platt J. Fast training of support vector machines using sequential minimal optimization [A]. Scholkopf B, Burges C, Smola A. Advances in Kernel Methods-Support Vector Learning [C]. Cambridge: MIT Press, 1999. 185-208.
- (1999) Advances in Kernel Methods-Support Vector Learning , pp. 185-208
- Platt, J.¹

4
- 84898983292
- Using analytic QP and sparseness to speed training of support vector machines
- Kearns M., Solla S. and Cohn D., Cambridge: MIT Press
- Platt J. Using analytic QP and sparseness to speed training of support vector machines [A]. Kearns M, Solla S, Cohn D. Advances in Neural Information Processing Systems [C]. Cambridge: MIT Press, 1999. 557-563.
- (1999) Advances in Neural Information Processing Systems , pp. 557-563
- Platt, J.¹

5
- 0026966646
- A training algorithm for optimal margin classifiers
- Pittsburgh: ACM Press
- Boser B E, Guyon I M, Vapnik V N. A training algorithm for optimal margin classifiers [A]. Fifth Annual Workshop on Computational Learning Theroy [C]. Pittsburgh: ACM Press, 1992. 144-152.
- (1992) Fifth Annual Workshop on Computational Learning Theory , pp. 144-152
- Boser, B.E.¹ Guyon, I.M.² Vapnik, V.N.³

6
- 0031334889
- An improved training algorithm for support vector machines
- New York: ICNNSP97
- Osuna E, Freund R, Girosi F. An improved training algorithm for support vector machines [R]. New York: ICNNSP97, 1997. 276-285.
- (1997) , pp. 276-285
- Osuna, E.¹ Freund, R.² Girosi, F.³

7
- 0003425662
- Support vector machines: Training and application
- Cambridge: Massachusetts Institute of Technology
- Osuna E, Freund R, Girosi F. Support vector machines: Training and application [R]. Cambridge: Massachusetts Institute of Technology, 1997.
- (1997)
- Osuna, E.¹ Freund, R.² Girosi, F.³

8
- 0036825901
- Modified support vector machines in financial time series forecasting
- Francis E H Tay, Cao L J. Modified support vector machines in financial time series forecasting [J]. Neurocomputing, 2002, 48: 847-861.
- (2002) Neurocomputing , vol.48 , pp. 847-861
- Francis, E.H.T.¹ Cao, L.J.²

9
- 0001023715
- Application of support vector machines in financial time series forecasting
- Francis E H tay, Cao L J. Application of support vector machines in financial time series forecasting [J]. Omega, 2001, 29: 309-317.
- (2001) Omega , vol.29 , pp. 309-317
- Francis, E.H.T.¹ Cao, L.J.²

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.