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Volumn , Issue 1836, 2003, Pages 16-20

Fuzzy-Neural Network Traffic Prediction Framework with Wavelet Decomposition

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; ARTIFICIAL INTELLIGENCE; FUZZY SETS; NEURAL NETWORKS; PATTERN RECOGNITION; TRANSPORTATION; WAVELET TRANSFORMS;

EID: 1642342860     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1836-03     Document Type: Conference Paper
Times cited : (45)

References (18)
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  • 3
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    • Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents
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    • Ishak, S.S.1    Al-Deek, H.M.2
  • 7
    • 0029332960 scopus 로고
    • Pavement Distress Evaluation Using Fuzzy Logic and Moment Invariants
    • TRB, National Research Council, Washington, D.C
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  • 10
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    • Fuzzy Neural Networks for Machine Maintenance in Mass Transit Railway System
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    • Liu, J.N.K.1
  • 11
    • 0033692230 scopus 로고    scopus 로고
    • Comparison of Neural and Conventional Approaches to Mode Choice Analysis
    • Sayed, T., and A. Razavi. Comparison of Neural and Conventional Approaches to Mode Choice Analysis. Journal of Computing in Civil Engineering, Vol. 14, No. 1, 2000, pp. 23-30.
    • (2000) Journal of Computing in Civil Engineering , vol.14 , Issue.1 , pp. 23-30
    • Sayed, T.1    Razavi, A.2
  • 12
    • 0028700296 scopus 로고
    • Freeway Traffic Data Prediction via Artificial Neural Networks for Use in a Fuzzy Logic Ramp Metering Algorithm
    • Piscataway, N.J., IEEE
    • Taylor, C., and D. Meldrum. Freeway Traffic Data Prediction via Artificial Neural Networks for Use in a Fuzzy Logic Ramp Metering Algorithm. Proc., Intelligent Vehicles Symposium, Piscataway, N.J., IEEE, 1994, pp. 308-313.
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  • 14
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    • Dougherty, M.1    Kirby, H.2    Boyle, R.D.3
  • 15
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    • Urban Traffic Flow Prediction Using a Fuzzy-Neural Approach
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.