메뉴 건너뛰기




Volumn 3, Issue 3, 2006, Pages 175-184

Application of probabilistic neural networks in modelling structural deterioration of stormwater pipes

Author keywords

Deterioration model; Discriminant analysis; Probabilistic neural networks; Stormwater pipes

Indexed keywords

CONCRETE PIPE; DETERIORATION; DRAINAGE; MATHEMATICAL MODELS; NEURAL NETWORKS; STORM SEWERS; STRUCTURAL ANALYSIS;

EID: 33750989343     PISSN: 1573062X     EISSN: 17449006     Source Type: Journal    
DOI: 10.1080/15730620600961684     Document Type: Article
Times cited : (68)

References (35)
  • 1
    • 0033156950 scopus 로고    scopus 로고
    • Comparison of case-based reasoning and artificial neural networks J
    • Arditi, D. and Tokdemir, O. (1999) Comparison of case-based reasoning and artificial neural networks J. Computing Civil Engng, 13, pp. 162-169.
    • (1999) J. Computing Civil Engng , vol.13 , pp. 162-169
    • Arditi, D.1    Tokdemir, O.2
  • 2
    • 0035576640 scopus 로고    scopus 로고
    • Assessment of infrastructure inspection needs using logistic models
    • Ariaratnam, S. and Assaly, A. and Yuqing, Y. (2001) Assessment of infrastructure inspection needs using logistic models J. Infrastr. Systems, ASCE, 7, pp. 160-165.
    • (2001) J. Infrastr. Systems, ASCE , vol.7 , pp. 160-165
    • Ariaratnam, S.1    Assaly, A.2    Yuqing, Y.3
  • 3
    • 13944265044 scopus 로고    scopus 로고
    • Predicting cost deviation in reconstruction projects: Artificial neural networks versus regression
    • Attalla, M. and Hegazy, T. (2003) Predicting cost deviation in reconstruction projects: Artificial neural networks versus regression J. Constr. Engng. Mgmt., 129, pp. 405-411.
    • (2003) J. Constr. Engng. Mgmt. , vol.129 , pp. 405-411
    • Attalla, M.1    Hegazy, T.2
  • 4
    • 0343171028 scopus 로고
    • Estimation of a multivariate density
    • Cacoullos, T. (1966) Estimation of a multivariate density Ann. Inst. Statistical Maths, 18, pp. 179-189.
    • (1966) Ann. Inst. Statistical Maths , vol.18 , pp. 179-189
    • Cacoullos, T.1
  • 5
    • 0037972157 scopus 로고    scopus 로고
    • Recent research in non-destructive evaluation of civil infrastructures
    • Chang, P. and Liu, C. (2003) Recent research in non-destructive evaluation of civil infrastructures J. Mater. Civil Engng., IAP, 15, pp. 298-304.
    • (2003) J. Mater. Civil Engng. IAP , vol.15 , pp. 298-304
    • Chang, P.1    Liu, C.2
  • 6
    • 0029273779 scopus 로고
    • Neural network method of estimating construction technology acceptability
    • Chao, L. and Skibniewski, M. (1995) Neural network method of estimating construction technology acceptability J. Constr. Engng. Mgmt, 121, pp. 130-142.
    • (1995) J. Constr. Engng. Mgmt , vol.121 , pp. 130-142
    • Chao, L.1    Skibniewski, M.2
  • 7
    • 0034929301 scopus 로고    scopus 로고
    • Factors influencing the structural deterioration and collapse of rigid sewer pipes
    • Davies, P. and Clarke, A. and Whiter, T. (2001a) Factors influencing the structural deterioration and collapse of rigid sewer pipes Urban Water J., 3, pp. 73-89.
    • (2001) Urban Water J. , vol.3 , pp. 73-89
    • Davies, P.1    Clarke, A.2    Whiter, T.3
  • 8
    • 85069089068 scopus 로고    scopus 로고
    • The structural condition of rigid sewer pipes: A statistical investigation
    • Davies, P. and Clarke, A. and Whiter, T. (2001b) The structural condition of rigid sewer pipes: A statistical investigation Urban Water J., 3, pp. 145-154.
    • (2001) Urban Water J. , vol.3 , pp. 145-154
    • Davies, P.1    Clarke, A.2    Whiter, T.3
  • 11
    • 10644230902 scopus 로고    scopus 로고
    • Soft computing applications in infrastructure management
    • Flintsch, G. and Chen, C. (2004) Soft computing applications in infrastructure management J. Infrastr. Systems, 10, pp. 157-166.
    • (2004) J. Infrastr. Systems , vol.10 , pp. 157-166
    • Flintsch, G.1    Chen, C.2
  • 12
    • 33746411237 scopus 로고    scopus 로고
    • Accessed March 2006
    • Institution of Engineers Australia.(2001) 2001 Australia Infrastructure Report Card. Australian Capital Territory: The Institution of Engineers Australia. Available online at: http://www.ieaust.org.au/ library/institution_pubs.html. Accessed March 2006
    • (2001) 2001 Australia Infrastructure Report Card
  • 13
    • 33746471397 scopus 로고    scopus 로고
    • Structural distress condition modeling for sanitary sewers
    • Department of Civil Engineering, Louisiana Tech Univeristy. PhD thesis
    • Kathula, S. Structural distress condition modeling for sanitary sewers. Department of Civil Engineering, Louisiana Tech Univeristy. PhD thesis, 2001
    • (2001)
    • Kathula, S.V.1
  • 14
    • 20444465209 scopus 로고    scopus 로고
    • Application of probabilistic neural networks for prediction of concrete strength
    • Kim, D. and Lee, J. and Lee, J. and Chang, S. (2005) Application of probabilistic neural networks for prediction of concrete strength J. Mater. Civil Engng, IAP, 17, pp. 353-362.
    • (2005) J. Mater. Civil Engng, IAP , vol.17 , pp. 353-362
    • Kim, D.1    Lee, J.2    Lee, J.3    Chang, S.4
  • 15
    • 27944493679 scopus 로고    scopus 로고
    • Modeling failure risk in buried pipes using fuzzy Markov deterioration process
    • Kleiner, Y. and Sadiq, R. and Rajani, B.(). Modeling failure risk in buried pipes using fuzzy Markov deterioration process. Proceedings of Pipelines 2004 2004. In [pp.].
    • (2004) Proceedings of Pipelines 2004
    • Kleiner, Y.1    Sadiq, R.2    Rajani, B.3
  • 17
    • 0035577886 scopus 로고    scopus 로고
    • Application of neural network model to forecast short-term pavement crack condition: Florida case study
    • Lou, Z. and Gunaratne, M. and Lu, J. and Dietrich, B. (2001) Application of neural network model to forecast short-term pavement crack condition: Florida case study J. Infrastr. Systems, ASCE, 7, pp. 166-171.
    • (2001) J. Infrastr. Systems, ASCE , vol.7 , pp. 166-171
    • Lou, Z.1    Gunaratne, M.2    Lu, J.3    Dietrich, B.4
  • 18
    • 38349169113 scopus 로고
    • Estimation of infrastructure transition probabilities from condition rating data
    • Madanat, S. and Mishalani, R. and Ibrahim, W. (1995) Estimation of infrastructure transition probabilities from condition rating data J. Infrastr. Systems, ASCE, 1, pp. 120-125.
    • (1995) J. Infrastr. Systems, ASCE , vol.1 , pp. 120-125
    • Madanat, S.1    Mishalani, R.2    Ibrahim, W.3
  • 19
    • 0034227864 scopus 로고    scopus 로고
    • Probabilistic neural-network structure determination for pattern classification
    • Mao, K. and Tan, K. and Ser, W. (2000) Probabilistic neural-network structure determination for pattern classification IEEE Trans. on Neural Networks, 11, pp. 1009-1016.
    • (2000) IEEE Trans. on Neural Networks , vol.11 , pp. 1009-1016
    • Mao, K.1    Tan, K.2    Ser, W.3
  • 23
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • Parzen, E. (1962) On estimation of a probability density function and mode Ann. Math. Stat., 33, pp. 1065-1076.
    • (1962) Ann. Math. Stat. , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 26
    • 0036722579 scopus 로고    scopus 로고
    • Probabilistic neural network for reliability assessment of oil and gas pipelines
    • Sinha, S. and Pandey, M. (2002) Probabilistic neural network for reliability assessment of oil and gas pipelines Computer-Aided Civil Infrastr. Engng, 17, pp. 320-329.
    • (2002) Computer-Aided Civil Infrastr. Engng , vol.17 , pp. 320-329
    • Sinha, S.1    Pandey, M.2
  • 27
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht, D. (1990) Probabilistic neural networks Neural Networks, 3, pp. 109-118.
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.1
  • 29
    • 13244290314 scopus 로고    scopus 로고
    • Neural network model for asphalt concrete permeability
    • Tarefder, R. and White, L. and Zaman, M. (2005) Neural network model for asphalt concrete permeability J. Mater. Civil Engng, 17, pp. 19-27.
    • (2005) J. Mater. Civil Engng , vol.17 , pp. 19-27
    • Tarefder, R.1    White, L.2    Zaman, M.3
  • 33
    • 0035367051 scopus 로고    scopus 로고
    • Challenging issues in modeling deterioration of combined sewers
    • Wirahadikusumah, R. and Abraham, D. and Iseley, T. (2001) Challenging issues in modeling deterioration of combined sewers J. Infrastr. Systems, ASCE, 7, pp. 77-84.
    • (2001) J. Infrastr. Systems, ASCE , vol.7 , pp. 77-84
    • Wirahadikusumah, R.1    Abraham, D.2    Iseley, T.3
  • 34
    • 33746387139 scopus 로고    scopus 로고
    • Melbourne Victoria: Water Service Association of Australia
    • WSAA.(2002) Sewer Inspection Reporting Code of Australia. Melbourne Victoria: Water Service Association of Australia.
    • (2002) Sewer Inspection Reporting Code of Australia
  • 35
    • 22144456380 scopus 로고    scopus 로고
    • A new type of neural network for reservoir identification using geophysical well logs
    • Yue, W. and Tao, G. (2005) A new type of neural network for reservoir identification using geophysical well logs Mathem. Geol. J., 37, pp. 243-260.
    • (2005) Mathem. Geol. J. , vol.37 , pp. 243-260
    • Yue, W.1    Tao, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.