SCOPUS 정보 검색 플랫폼

14th World Congress on Intelligent Transport Systems, ITS 2007

Volumn 5, Issue , 2007, Pages 3275-3282

Study of short-term traffic flow forecasting models based on chaos-support vector machine theory

(2) Wang, Jin a Shi, Qixin b

a PBS and J (United States)

b TSINGHUA UNIVERSITY (China)

Author keywords

Chaos; Short term traffic flow forecasting; Support vector machine

Indexed keywords

FORECASTING; SUPPORT VECTOR MACHINES;

'CURRENT; CHAOTIC CHARACTERS; FORECASTING MODELS; MODEL-BASED OPC; NONLINEAR THEORY; SHORT-TERM TRAFFIC FLOW FORECASTING; SUPPORT VECTORS MACHINE; TRAFFIC FLOW; TRAINING SAMPLE; TRANSPORTATION SYSTEM;

CHAOS THEORY;

EID: 84893800542 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (1)

References (8)

1
- 78649488051
- Studies on Short-Term Traffic Flow Forecasting Models and Methods
- [Ph.D Thesis]. Tsinghua University
- Jin Wang, Studies on Short-Term Traffic Flow Forecasting Models and Methods: [Ph.D Thesis]. Tsinghua University, 2005
- (2005)
- Wang, J.¹

2
- 0003798635
- An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
- New York: Cambridge University Press
- Nello Cristianini, John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. New York: Cambridge University Press, 2000
- (2000)
- Cristianini, N.¹ Shawe-Taylor, J.²

3
- 4544262864
- A Comparison of the Performance of Artificial Neural Networks and Support Vector Machines for the Prediction of Traffic Speed
- Italy
- Lelitha Vanajakshi, Laurence R.Rilett. A Comparison of the Performance of Artificial Neural Networks and Support Vector Machines for the Prediction of Traffic Speed. IEEE Intelligent Vehicles Symposium. Italy:2004: 194-199
- (2004) IEEE Intelligent Vehicles Symposium , pp. 194-199
- Vanajakshi, L.¹ Rilett, L.R.²

4
- 23044460900
- The New Method in Data Mining-Support Vector Machines
- Beijing: Science Press
- Naiyang Deng, Yingjie Tian. The New Method in Data Mining-Support Vector Machines. Beijing: Science Press, 2004
- (2004)
- Deng, N.¹ Tian, Y.²

5
- 0002343859
- Introduction to Statistical Learning Theory and Support Vector Machines
- Acta Automatica Sinica
- Xuegong Zhang. Introduction to Statistical Learning Theory and Support Vector Machines. Acta Automatica Sinica, 2000, 26(1): 32-42
- (2000) , vol.26 , Issue.1 , pp. 32-42
- Zhang, X.¹

6
- 85163646079
- Study of Short-term Traffic Flow Forecasting Models based on Statistics Learning Theory
- Proceedings of 13th World Congress& Exhibition on Intelligent Transport Systems and Services, London, UK
- Jin Wang, Qixin Shi, Xueyi Wang. Study of Short-term Traffic Flow Forecasting Models based on Statistics Learning Theory. Proceedings of 13th World Congress& Exhibition on Intelligent Transport Systems and Services, 2006, 10, London, UK
- (2006) , pp. 10
- Wang, J.¹ Shi, Q.² Wang, X.³

7
- 33745962649
- The Study of Short-Term Traffic Flow Forecasting Based on the Theory of Chaos
- Las Vegas, USA
- Jin Wang, Qixin Shi, Huapu Lu. The Study of Short-Term Traffic Flow Forecasting Based on the Theory of Chaos. Proceedings of IEEE Intelligent Vehicles Symposium. 2005, 6, Las Vegas, USA: 869-874
- (2005) Proceedings of IEEE Intelligent Vehicles Symposium
- Wang, J.¹ Shi, Q.² Lu, H.³

8
- 0003450542
- The Nature of Statistical Learning Theory
- New York: Springer Verlag
- Vapnik V N, The Nature of Statistical Learning Theory, New York: Springer Verlag, 1995
- (1995)
- Vapnik, V.N.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.