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Volumn 36, Issue 6, 2006, Pages 881-884

Short-term traffic flow prediction method based on SVM

Author keywords

BP neural network; Engineering of communications and transportation system; Statistics learning theory; SVM; Traffic flow prediction

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; FORECASTING; NEURAL NETWORKS; OPTIMIZATION; STATISTICS;

EID: 33845888299     PISSN: 16715497     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (64)

References (11)
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    • He Guo-guang, Li Yu, Ma Shou-feng. Discussion on short-term traffic flow forecasting methods based on mathematical models[J]. System Engineering Theory and Practice, 2000, 12: 51-56.
    • (2000) System Engineering Theory and Practice , vol.12 , pp. 51-56
    • He, G.-G.1    Li, Y.2    Ma, S.-F.3
  • 2
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    • Chinese source
  • 3
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    • Chinese source
  • 4
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    • Chinese source
  • 5
    • 33845904260 scopus 로고    scopus 로고
    • The appliance of BP-network and SVM in approach of non-linear function
    • Chen Hao, Chen Li-hui, Bi Du-yan, et al. The appliance of BP-network and SVM in approach of non-linear function[J]. Aeronautical Computer Technique, 2004, 34(3): 27-30.
    • (2004) Aeronautical Computer Technique , vol.34 , Issue.3 , pp. 27-30
    • Chen, H.1    Chen, L.-H.2    Bi, D.-Y.3
  • 6
    • 17644437641 scopus 로고    scopus 로고
    • Advanced support vector machines and kernel methods
    • Sanchez V D. Advanced support vector machines and kernel methods[J]. Neurocomputing, 2003, 55: 5-20.
    • (2003) Neurocomputing , vol.55 , pp. 5-20
    • Sanchez, V.D.1
  • 7
  • 8
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machine for classification and regression
    • University of Shouthampton
    • Gunn S R. Support vector machine for classification and regression[R]. University of Shouthampton, 1998.
    • (1998)
    • Gunn, S.R.1
  • 9
    • 84947943630 scopus 로고    scopus 로고
    • Support vector machine regression for volatile stock market prediction
    • LNCS 24412
    • Yang H, Chan L, King I. Support vector machine regression for volatile stock market prediction[C]//IDEAL 2002, LNCS 24412: 391-396, 2002.
    • (2002) IDEAL 2002 , pp. 391-396
    • Yang, H.1    Chan, L.2    King, I.3
  • 11
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    • Chinese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.