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Volumn , Issue 1592, 1997, Pages 89-97

Roughness level probability prediction using artificial neural networks

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Indexed keywords


EID: 0005176680     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1592-11     Document Type: Article
Times cited : (27)

References (10)
  • 3
    • 0023545630 scopus 로고
    • Pavement performance Prediction Model Using the Markov Process
    • TRB, National Research Council, Washington, D.C.
    • Butt, A. A., M. Y. Shahin, K. J. Feighan, and S. H. Carpenter. Pavement performance Prediction Model Using the Markov Process. In Transportation Research Record 1123, TRB, National Research Council, Washington, D.C., 1987, pp. 12-19.
    • (1987) Transportation Research Record 1123 , pp. 12-19
    • Butt, A.A.1    Shahin, M.Y.2    Feighan, K.J.3    Carpenter, S.H.4
  • 5
    • 0012960817 scopus 로고    scopus 로고
    • Framework for PMS Using Mechanistic Distress Submodels
    • Jan/Feb.
    • Chua, K. H. Framework for PMS Using Mechanistic Distress Submodels. ASCE Journal of Transportation Engineering, Vol. 122, No. 1, Jan/Feb. 1996, pp. 29-40.
    • (1996) ASCE Journal of Transportation Engineering , vol.122 , Issue.1 , pp. 29-40
    • Chua, K.H.1
  • 6
    • 0027849335 scopus 로고
    • A Neural-Network-Based Procedure for Condition Assessment of Utility Cuts in Flexible Pavements
    • TRB, National Research Council, Washington, D.C.
    • Pant, P. D., X. Zhou, R. S. Arudi, A. Bodoxsi, and A. E. Aktan, A Neural-Network-Based Procedure for Condition Assessment of Utility Cuts in Flexible Pavements. In Transportation Research Record 1399, TRB, National Research Council, Washington, D.C., 1993, pp. 8-13.
    • (1993) Transportation Research Record 1399 , pp. 8-13
    • Pant, P.D.1    Zhou, X.2    Arudi, R.S.3    Bodoxsi, A.4    Aktan, A.E.5
  • 7
    • 0003024620 scopus 로고
    • Evaluation of Artificial Neural Network Applications in Transportation Engineering
    • TRB, National Research Council, Washington, D.C.
    • Faghri, A., and J. Hua. Evaluation of Artificial Neural Network Applications in Transportation Engineering. In Transportation Research Record 1358, TRB, National Research Council, Washington, D.C., 1992, pp. 71-80.
    • (1992) Transportation Research Record 1358 , pp. 71-80
    • Faghri, A.1    Hua, J.2
  • 8
    • 0002786406 scopus 로고
    • Predicting Roughness Progression in Flexible Pavement Using Artificial Neural Networks
    • TRB, National Research Council, Washington, D.C.
    • Anoh-Okine, N. O. Predicting Roughness Progression in Flexible Pavement Using Artificial Neural Networks. Proc., 3rd International Conference on Managing Pavements, Vol. 1, TRB, National Research Council, Washington, D.C., 1994, pp. 55-62.
    • (1994) Proc., 3rd International Conference on Managing Pavements , vol.1 , pp. 55-62
    • Anoh-Okine, N.O.1
  • 9
    • 0004003816 scopus 로고
    • Final Report, Phase III POS. Kansas Department of Transportation, July
    • Woodward-Clyde Consultsants. KDOT Pavement Management System. Final Report, Phase III POS. Kansas Department of Transportation, July 1988.
    • (1988) KDOT Pavement Management System


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.