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Volumn , Issue , 2008, Pages 2870-2875

Real-time traffic flow forecasting model and parameter selection based on ε-SVR

Author keywords

Parameter election; SVR; Traffic flow forecasting

Indexed keywords

FOOD PROCESSING; FORECASTING; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; SUPPORT VECTOR MACHINES; VECTORS; VEHICLE LOCATING SYSTEMS;

EID: 52149109526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4593381     Document Type: Conference Paper
Times cited : (12)

References (10)
  • 1
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    • Tan Guozhen, Gao Wen, "Shortest path algorithm in time-dependent networks," Chinese J. Computers, vol. 25, no. 2, pp. 165-172, February 2002.
    • (2002) Chinese J. Computers , vol.25 , Issue.2 , pp. 165-172
    • Tan, G.1    Wen, G.2
  • 2
    • 0037491253 scopus 로고    scopus 로고
    • K Expected shortest path in stochastic and time-dependant network
    • March
    • Tan Guozhen, Liu Yaling, Gao Wen, "K Expected shortest path in stochastic and time-dependant network," Chinese J. Computers, vol.26, no. 3, pp. 323-331, March 2003.
    • (2003) Chinese J. Computers , vol.26 , Issue.3 , pp. 323-331
    • Tan, G.1    Liu, Y.2    Wen, G.3
  • 5
    • 17444398555 scopus 로고    scopus 로고
    • Leave-one-out Bounds for Support Vector Regression Model Selection
    • Chang Mingwei, Lin Chihjen, "Leave-one-out Bounds for Support Vector Regression Model Selection," Neural Computation, vol.17, no. 5, pp. 1188-1222, 2005.
    • (2005) Neural Computation , vol.17 , Issue.5 , pp. 1188-1222
    • Chang, M.1    Lin, C.2
  • 6
    • 15844394276 scopus 로고    scopus 로고
    • Evolutionary Tuning of Multiple SVM Parameters
    • Friedrichs F, Igel C, "Evolutionary Tuning of Multiple SVM Parameters," Neural Computation, vol. 64, no.1, pp.107-117, 2005.
    • (2005) Neural Computation , vol.64 , Issue.1 , pp. 107-117
    • Friedrichs, F.1    Igel, C.2
  • 7
    • 33750219970 scopus 로고    scopus 로고
    • Study on optimization of SVR parameters selection based on PSO
    • September
    • Xiong Wei-li, Xu Bao-guo, "Study on optimization of SVR parameters selection based on PSO," Journal of System Simulation, vol. 18, no. 9, pp. 2442-2445, September 2006.
    • (2006) Journal of System Simulation , vol.18 , Issue.9 , pp. 2442-2445
    • Xiong, W.-L.1    Xu, B.-G.2
  • 8
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Scholkopf, C. J. C. Burges, and A. J. Smola, editors, Cambridge, MA: MIT Press
    • J. C. Platt, "Fast training of support vector machines using sequential minimal optimization," In B. Scholkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods-Support Vector Learning, Cambridge, MA: MIT Press, 1998.
    • (1998) Advances in Kernel Methods-Support Vector Learning
    • Platt, J.C.1
  • 9
    • 0037844881 scopus 로고    scopus 로고
    • Linear Dependency between ε and the Input Noise in ε-Support Vector Regression
    • May
    • J.T. Kwok, I. W. Tsang, "Linear Dependency between ε and the Input Noise in ε-Support Vector Regression," IEEE Transactions on Neural Networks, vol. 14, no. 3, pp. 544-553, May 2003.
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.3 , pp. 544-553
    • Kwok, J.T.1    Tsang, I.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.