메뉴 건너뛰기




Volumn 18, Issue 7, 2009, Pages 821-832

Improved hybrid wavelet neural network methodology for time-varying behavior prediction of engineering structures

Author keywords

Deformation; Neural networks; Neuro wavelet modeling; Nonlinear analysis; Optimization models; Prediction of time varying behavior; Structural safety; Subsystems; Wavelet

Indexed keywords


EID: 70350164867     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-009-0240-8     Document Type: Article
Times cited : (27)

References (41)
  • 1
    • 0023128356 scopus 로고
    • Postconstruction deformations of rockfill dams
    • doi:10.1061/(ASCE)0733-9410(1987)113:1(46)
    • Dascal O (1987) Postconstruction deformations of rockfill dams. J Geotech Eng Div 113(1):46-59. doi:10.1061/(ASCE)0733-9410(1987)113:1(46).
    • (1987) J Geotech Eng Div , vol.113 , Issue.1 , pp. 46-59
    • Dascal, O.1
  • 2
    • 0036174317 scopus 로고    scopus 로고
    • Post-construction settlement of rockfill dams analyzed via adaptive network-based fuzzy inference systems
    • doi:10.1016/S0266-352X(01)00025-8
    • Habibagahi G (2002) Post-construction settlement of rockfill dams analyzed via adaptive network-based fuzzy inference systems. Comput Geotech 29(3):211-233. doi:10.1016/S0266-352X(01)00025-8.
    • (2002) Comput Geotech , vol.29 , Issue.3 , pp. 211-233
    • Habibagahi, G.1
  • 4
    • 19544372922 scopus 로고    scopus 로고
    • Use of deformation monitoring results in solving geomechanical problems--case studies
    • doi:10.1016/j.enggeo.2004.10.014
    • Szostak-Chrzanowski A, Chrzanowski A, Massiera M (2005) Use of deformation monitoring results in solving geomechanical problems--case studies. Eng Geol 79(1-2):3-12. doi:10.1016/j.enggeo.2004.10.014.
    • (2005) Eng Geol , vol.79 , Issue.1-2 , pp. 3-12
    • Szostak-Chrzanowski, A.1    Chrzanowski, A.2    Massiera, M.3
  • 5
    • 0000580853 scopus 로고
    • Analysis of the Pacoima dam accelerogram-San Fernando, California, earthquake of 1971
    • Trifunac MD, Hudson DE (1971) Analysis of the Pacoima dam accelerogram-San Fernando, California, earthquake of 1971. Bull Seismol Soc Am 61(5):1393-1411.
    • (1971) Bull Seismol Soc Am , vol.61 , Issue.5 , pp. 1393-1411
    • Trifunac, M.D.1    Hudson, D.E.2
  • 6
    • 33845645960 scopus 로고    scopus 로고
    • One-dimensional modeling of dam-break flow over movable beds
    • doi:10.1061/(ASCE)0733-9429(2007)133:1(48)
    • Wu WM, Wang SS (2007) One-dimensional modeling of dam-break flow over movable beds. J Hydraul Eng 133(1):48-58. doi:10.1061/(ASCE)0733-9429(2007)133:1(48).
    • (2007) J Hydraul Eng , vol.133 , Issue.1 , pp. 48-58
    • Wu, W.M.1    Wang, S.S.2
  • 7
    • 34147150220 scopus 로고    scopus 로고
    • Modeling the relationship between water level and vertical displacements on the Yamula Dam, Turkey
    • Bayrak T (2007) Modeling the relationship between water level and vertical displacements on the Yamula Dam, Turkey. Nat Hazards Earth Syst Sci 7(2):289-297.
    • (2007) Nat Hazards Earth Syst Sci , vol.7 , Issue.2 , pp. 289-297
    • Bayrak, T.1
  • 8
    • 0000573977 scopus 로고    scopus 로고
    • Continuous GPS monitoring of structural deformation at Pacoima dam, California
    • Hudnut K, Behr J (1998) Continuous GPS monitoring of structural deformation at Pacoima dam, California. Seismol Res Lett 69(4):299-308.
    • (1998) Seismol Res Lett , vol.69 , Issue.4 , pp. 299-308
    • Hudnut, K.1    Behr, J.2
  • 11
    • 13444301202 scopus 로고    scopus 로고
    • Ladon dam (Greece) deformation and reservoir level fluctuations, evidence for a causative relationship from the spectral analysis of a geodetic monitoring record
    • doi:10.1016/j.engstruct.2004.10.012
    • Pytharouli SI, Stiros SC (2005) Ladon dam (Greece) deformation and reservoir level fluctuations, evidence for a causative relationship from the spectral analysis of a geodetic monitoring record. Eng Struct 27(3):361-370. doi:10.1016/j.engstruct.2004.10.012.
    • (2005) Eng Struct , vol.27 , Issue.3 , pp. 361-370
    • Pytharouli, S.I.1    Stiros, S.C.2
  • 12
    • 33750630303 scopus 로고    scopus 로고
    • Statistical analysis and structural identification in concrete dam monitoring
    • doi:10.1016/j.engstruct.2006.04.022
    • De Sortisa A, Paoliani P (2007) Statistical analysis and structural identification in concrete dam monitoring. Eng Struct 29(1):110-120. doi:10.1016/j.engstruct.2006.04.022.
    • (2007) Eng Struct , vol.29 , Issue.1 , pp. 110-120
    • De Sortisa, A.1    Paoliani, P.2
  • 13
    • 25744449528 scopus 로고    scopus 로고
    • Continuous GPS monitoring of dam deformation
    • Hudnut K (1996) Continuous GPS monitoring of dam deformation. Eos Trans AGU 77(46):F139.
    • (1996) Eos Trans AGU , vol.77 , Issue.46
    • Hudnut, K.1
  • 14
    • 19944370502 scopus 로고    scopus 로고
    • Dam health diagnosis and evaluation
    • doi:10.1088/0964-1726/14/3/016
    • Wu ZR, Su HZ (2005) Dam health diagnosis and evaluation. Smart Mater Struct 14:S130-S136. doi:10.1088/0964-1726/14/3/016.
    • (2005) Smart Mater Struct , vol.14
    • Wu, Z.R.1    Su, H.Z.2
  • 15
    • 70350154335 scopus 로고    scopus 로고
    • Bulletin 118, automated dam monitoring systems--guidelines and case histories
    • ICOLD, Paris
    • ICOLD (2000) Bulletin 118, automated dam monitoring systems--guidelines and case histories. International Commission on Large Dams, Paris.
    • (2000) International Commission on Large Dams
  • 16
    • 3142716149 scopus 로고    scopus 로고
    • Computational dam-break hydraulics over erodible sediment bed
    • doi:10.1061/(ASCE)0733-9429(2004)130:7(689)
    • Cao ZX, Pender G, Wallis S, Carling P (2004) Computational dam-break hydraulics over erodible sediment bed. J Hydraul Eng 130(7):689-703. doi:10.1061/(ASCE)0733-9429(2004)130:7(689).
    • (2004) J Hydraul Eng , vol.130 , Issue.7 , pp. 689-703
    • Cao, Z.X.1    Pender, G.2    Wallis, S.3    Carling, P.4
  • 17
    • 35548938283 scopus 로고    scopus 로고
    • Site effect of the strong-motion site at Tolmezzo-Ambiesta dam in northeastern Italy
    • Barnaba C, Priolol E, Vuanl A, Romanelli M (2007) Site effect of the strong-motion site at Tolmezzo-Ambiesta dam in northeastern Italy. Bull Seismol Soc Am 97(1B):339-346.
    • (2007) Bull Seismol Soc Am , vol.97 , Issue.1 B , pp. 339-346
    • Barnaba, C.1    Priolol, E.2    Vuanl, A.3    Romanelli, M.4
  • 18
    • 33644835879 scopus 로고    scopus 로고
    • Health assessment of concrete dams by overall inverse analyses and neural networks
    • doi:10.1007/s10704-006-6582-7
    • Fedele R, Maier G, Miller B (2006) Health assessment of concrete dams by overall inverse analyses and neural networks. Int J Fract 137(1-4):151-172. doi:10.1007/s10704-006-6582-7.
    • (2006) Int J Fract , vol.137 , Issue.1-4 , pp. 151-172
    • Fedele, R.1    Maier, G.2    Miller, B.3
  • 19
    • 20444494282 scopus 로고    scopus 로고
    • Case study, finite element method and artificial neural network models for flow through Jeziorsko Earthfill dam in Poland
    • doi:10.1061/(ASCE)0733-9429(2005)131:6(431)
    • Tayfur G, Swiatek D, Wita A, Singh VP (2005) Case study, finite element method and artificial neural network models for flow through Jeziorsko Earthfill dam in Poland. J Hydraul Eng 131(6):431-440. doi:10.1061/(ASCE)0733-9429(2005)131:6(431).
    • (2005) J Hydraul Eng , vol.131 , Issue.6 , pp. 431-440
    • Tayfur, G.1    Swiatek, D.2    Wita, A.3    Singh, V.P.4
  • 20
    • 0035441570 scopus 로고    scopus 로고
    • Neural networks in mechanics of structures and materials-new results and prospects of applications
    • doi:10.1016/S0045-7949(01)00083-9
    • Waszczyszyn Z, Ziemiański L (2001) Neural networks in mechanics of structures and materials-new results and prospects of applications. Comput Struct 79:2261-2276. doi:10.1016/S0045-7949(01)00083-9.
    • (2001) Comput Struct , vol.79 , pp. 2261-2276
    • Waszczyszyn, Z.1    Ziemiański, L.2
  • 21
    • 33747077239 scopus 로고    scopus 로고
    • A neural network methodology for dam deformation predictions using historical displacements
    • Deng XS, Wang XZ (2004) A neural network methodology for dam deformation predictions using historical displacements. Chin J Hydropower Autom Dam Monit 28(2):51-53.
    • (2004) Chin J Hydropower Autom Dam Monit , vol.28 , Issue.2 , pp. 51-53
    • Deng, X.S.1    Wang, X.Z.2
  • 22
    • 70350154333 scopus 로고    scopus 로고
    • Dam deformation prediction by evolving artificial neural network
    • Li SJ, Liu YX, Liu YJ (2003) Dam deformation prediction by evolving artificial neural network. Chin J Rock Soil Mech 24(4):635-638.
    • (2003) Chin J Rock Soil Mech , vol.24 , Issue.4 , pp. 635-638
    • Li, S.J.1    Liu, Y.X.2    Liu, Y.J.3
  • 24
    • 34548276472 scopus 로고    scopus 로고
    • Dam deformation monitoring model and forecast based on BP algorithm of artificial neural networks
    • doi:10.1016/S1006-1266(07)60006-6
    • Yang J, Wu ZR, Gu CS (2001) Dam deformation monitoring model and forecast based on BP algorithm of artificial neural networks. Chin J Xi'an Univ Technol 17(1):25-29. doi:10.1016/S1006-1266(07)60006-6.
    • (2001) Chin J Xi'an Univ Technol , vol.17 , Issue.1 , pp. 25-29
    • Yang, J.1    Wu, Z.R.2    Gu, C.S.3
  • 25
    • 0031513628 scopus 로고    scopus 로고
    • Combining neural network forecasts on wavelet-transformed time series
    • doi:10.1080/095400997116766
    • Aussem A, Murtagh F (1997) Combining neural network forecasts on wavelet-transformed time series. Connect Sci 9(1):113-121. doi:10.1080/095400997116766.
    • (1997) Connect Sci , vol.9 , Issue.1 , pp. 113-121
    • Aussem, A.1    Murtagh, F.2
  • 26
    • 0032207764 scopus 로고    scopus 로고
    • ScaleNet-Multiscale neural-network architecture for time series prediction
    • doi:10.1109/72.728396
    • Geva AB (1998) ScaleNet-Multiscale neural-network architecture for time series prediction. IEEE Trans Neural Netw 9(5):1471-1482. doi:10.1109/72.728396.
    • (1998) IEEE Trans Neural Netw , vol.9 , Issue.5 , pp. 1471-1482
    • Geva, A.B.1
  • 27
    • 0035251819 scopus 로고    scopus 로고
    • Wed traffic demand prediction using wavelet-based multiscale decomposition
    • doi:10.1002/1098-111X(200102)16:2<215::AID-INT50>3.0.CO;2-#
    • Aussem A, Murtagh F (2001) Wed traffic demand prediction using wavelet-based multiscale decomposition. Int J Intell Syst 16:215-236. doi:10.1002/1098-111X(200102)16:2<215::AID-INT50>3.0.CO;2-#.
    • (2001) Int J Intell Syst , vol.16 , pp. 215-236
    • Aussem, A.1    Murtagh, F.2
  • 28
    • 0035390996 scopus 로고    scopus 로고
    • Multiresolution prediction for futures trading using wavelet decompositions
    • doi:10.1109/72.935090
    • Zhang BL, Coggins R, Jabri MA et al (2001) Multiresolution prediction for futures trading using wavelet decompositions. Trans Neural Netw 12:765-775. doi:10.1109/72.935090.
    • (2001) Trans Neural Netw , vol.12 , pp. 765-775
    • Zhang, B.L.1    Coggins, R.2    Jabri, M.A.3
  • 31
    • 0026938667 scopus 로고
    • Discrete wavelet transforms, wedding the à trous and Mallat algorithms
    • doi:10.1109/78.157290
    • Shensa MJ (1992) Discrete wavelet transforms, wedding the à trous and Mallat algorithms. Trans Signal Process 40(10):2464-2482. doi:10.1109/78.157290.
    • (1992) Trans Signal Process , vol.40 , Issue.10 , pp. 2464-2482
    • Shensa, M.J.1
  • 32
    • 52349087908 scopus 로고    scopus 로고
    • Neural network committee-based sensitivity analysis strategy for geotechnical engineering problems
    • doi:10.1007/s00521-007-0143-5
    • Cao M, Qiao P (2008) Neural network committee-based sensitivity analysis strategy for geotechnical engineering problems. Neural Comput Appl 17(5-6):509-519. doi:10.1007/s00521-007-0143-5.
    • (2008) Neural Comput Appl , vol.17 , Issue.5-6 , pp. 509-519
    • Cao, M.1    Qiao, P.2
  • 33
    • 0001234705 scopus 로고
    • Second-order derivatives for network pruning, optimal brain surgeon
    • Hassibi B, Stork DG (1993) Second-order derivatives for network pruning, optimal brain surgeon. Adv Neural Inf Process Syst 5:164-171.
    • (1993) Adv Neural Inf Process Syst , vol.5 , pp. 164-171
    • Hassibi, B.1    Stork, D.G.2
  • 34
    • 6244267691 scopus 로고    scopus 로고
    • Signature of chaos in power spectrum
    • doi:10.1007/BF02845623
    • Valsakumar MC, Satyanarayana SVM, Sridhar V (1997) Signature of chaos in power spectrum. Pramana 48(1):69-85. doi:10.1007/BF02845623.
    • (1997) Pramana , vol.48 , Issue.1 , pp. 69-85
    • Valsakumar, M.C.1    Satyanarayana, S.V.M.2    Sridhar, V.3
  • 37
    • 14944355075 scopus 로고    scopus 로고
    • Determining the input dimension of a neural network for nonlinear time series prediction
    • doi:10.1088/1009-1963/12/6/304
    • Zhang S, Liu HX, Gao DT, Du SD (2003) Determining the input dimension of a neural network for nonlinear time series prediction. Chin Phys 12(6):594-598. doi:10.1088/1009-1963/12/6/304.
    • (2003) Chin Phys , vol.12 , Issue.6 , pp. 594-598
    • Zhang, S.1    Liu, H.X.2    Gao, D.T.3    Du, S.D.4
  • 40
    • 0035108726 scopus 로고    scopus 로고
    • Neural network based modelling of environmental variables: A systematic approach
    • doi:10.1016/S0895-7177(00)00271-5
    • Maier HR, Dandy GC (2001) Neural network based modelling of environmental variables: a systematic approach. Math Comput Model 33:669-682. doi:10.1016/S0895-7177(00)00271-5.
    • (2001) Math Comput Model , vol.33 , pp. 669-682
    • Maier, H.R.1    Dandy, G.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.