메뉴 건너뛰기




Volumn 17, Issue , 2004, Pages

Structural reliability: Statistical learning perspectives

Author keywords

[No Author keywords available]

Indexed keywords


EID: 67349228643     PISSN: 16137736     EISSN: None     Source Type: Book Series    
DOI: None     Document Type: Article
Times cited : (36)

References (191)
  • 1
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition
    • M. A. Aizerman, E. M. Braverman, and L. 1. Rozonoer. Theoretical foundations of the potential function method in pattern recognition. Automation and Remote Control, 25:821-837, 1964.
    • (1964) Automation and Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozonoer, L.3
  • 5
    • 0036639694 scopus 로고    scopus 로고
    • The truncated hausdorff moment problem solved with kernel density functions
    • G. A. Athanassoulis and P. N. Graviladis. The truncated hausdorff moment problem solved with kernel density functions. Probabilistic Engineering Mechanics, 17:273-291, 2002.
    • (2002) Probabilistic Engineering Mechanics , vol.17 , pp. 273-291
    • Athanassoulis, G.A.1    Graviladis, P.N.2
  • 7
    • 0032643408 scopus 로고    scopus 로고
    • A new adaptive importance sampling scheme for reliability calculations
    • S. K. Au and J. L. Beck. A new adaptive importance sampling scheme for reliability calculations. Structural Safety, 21:135-158, 1999.
    • (1999) Structural Safety , vol.21 , pp. 135-158
    • Au, S.K.1    Beck, J.L.2
  • 8
    • 0035472117 scopus 로고    scopus 로고
    • Estimation of small failure probabilites in high dimensions by subset simulation
    • S. K. Au and J. L. Beck. Estimation of small failure probabilites in high dimensions by subset simulation. Probabilistic Engineering Mechanics, 16:263-277, 2001.
    • (2001) Probabilistic Engineering Mechanics , vol.16 , pp. 263-277
    • Au, S.K.1    Beck, J.L.2
  • 9
    • 0037378390 scopus 로고    scopus 로고
    • Importance sampling in high dimensions
    • S. K. Au and J. L. Beck. Importance sampling in high dimensions. Structural Safety, 25:139-163, 2003.
    • (2003) Structural Safety , vol.25 , pp. 139-163
    • Au, S.K.1    Beck, J.L.2
  • 10
    • 0002803449 scopus 로고    scopus 로고
    • Evolution strategies: An alternative evolutionary algorithm
    • In J.M. Alliot, E. Lutton, E. Ronald, M. Shoenhauer, and D. Snyers, editors, Springer-Verlag, Berlin
    • T. Back. Evolution strategies: An alternative evolutionary algorithm. In J.M. Alliot, E. Lutton, E. Ronald, M. Shoenhauer, and D. Snyers, editors, Artificial Evolution, pages 3-20. Springer-Verlag, Berlin, 1996.
    • (1996) Artificial Evolution , pp. 3-20
    • Back, T.1
  • 12
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • A.R. Barron. Universal approximation bounds for superpositions of a sigmoidal function. IEEE Trans. Inform. Theory, IT-39:930, 1993.
    • (1993) IEEE Trans. Inform. Theory , Issue.IT-39 , pp. 930
    • Barron, A.R.1
  • 19
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 26:126-140, 1996.
    • (1996) Machine Learning , vol.26 , pp. 126-140
    • Breiman, L.1
  • 21
    • 0025243907 scopus 로고
    • A fast and efficient response surface approach for structural reliability problems
    • C. Bucher. A fast and efficient response surface approach for structural reliability problems. Structural Safety, 7:57-66, 1990.
    • (1990) Structural Safety , vol.7 , pp. 57-66
    • Bucher, C.1
  • 22
    • 0024032825 scopus 로고
    • Adaptive Sampling: An Iterative Fast Monte-Carlo Procedure
    • C. G. Bucher. Adaptive Sampling: An Iterative Fast Monte-Carlo Procedure. Structural Safety, 5:119-126., 1988.
    • (1988) Structural Safety , vol.5 , pp. 119-126
    • Bucher, C.G.1
  • 23
    • 0024143586 scopus 로고
    • Stochastic stability of bridges considering coupled modes
    • C. G. Bucher and Y. K. Lin. Stochastic stability of bridges considering coupled modes. Journal of Engineering Mechanics, 114:2055-2071, 1988.
    • (1988) Journal of Engineering Mechanics , vol.114 , pp. 2055-2071
    • Bucher, C.G.1    Lin, Y.K.2
  • 24
    • 0012032180 scopus 로고
    • Computational stochastic structural analysis
    • In G. 1. Schueller, editor, Springer-Verlag, Berlin
    • C. G. Bucher, H. J. Pradlwarter, and G. L. Schueller. Computational stochastic structural analysis. In G. 1. Schueller, editor, Structural Dynamics: Recent Advances, pages 285-300. Springer-Verlag, Berlin, 1991.
    • (1991) Structural Dynamics: Recent Advances , pp. 285-300
    • Bucher, C.G.1    Pradlwarter, H.J.2    Schueller, G.L.3
  • 25
    • 0345849879 scopus 로고    scopus 로고
    • Neural network based response surface method and adaptive importance sampling for reliability analysis of large structural systems
    • In R. B. Corotis, G. 1. Schueller, and M. Shinozuka, editors, ICOSSAR 01, Newport Beach, California, 17-22 June, Lisse, The Netherlands, 2001. A.A. Balkema, Publishers
    • S. V. S. Cabral and L. S. Katafygiotis. Neural network based response surface method and adaptive importance sampling for reliability analysis of large structural systems. In R. B. Corotis, G. 1. Schueller, and M. Shinozuka, editors, Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability, ICOSSAR 01, Newport Beach, California, 17-22 June 2001, page 46, Lisse, The Netherlands, 2001. A.A. Balkema, Publishers.
    • (2001) Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability , pp. 46
    • Cabral, S.V.S.1    Katafygiotis, L.S.2
  • 26
    • 0006837268 scopus 로고
    • Neural networks in probabilistic structural mechanics
    • In C. (Raj) Sundararajan, editor, Chapman & Hall, New York
    • O. J. Chapman and A. D. Crossland. Neural networks in probabilistic structural mechanics. In C. (Raj) Sundararajan, editor, Probabilistic Structural Mechanics Handbook, pages 317-330. Chapman & Hall, New York, 1995.
    • (1995) Probabilistic Structural Mechanics Handbook , pp. 317-330
    • Chapman, O.J.1    Crossland, A.D.2
  • 30
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. N. Vapnik. Support vector networks. Machine Learning, 20:273--297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-2297
    • Cortes, C.1    Vapnik, V.N.2
  • 31
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • T. M. Cover. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Transactions on Electronic Computers, 14:326-334, 1965.
    • (1965) IEEE Transactions on Electronic Computers , vol.14 , pp. 326-334
    • Cover, T.M.1
  • 36
    • 0022470217 scopus 로고
    • Structural reliability under incomplete probability information
    • A. DerKiureghian and P. L. Liu. Structural reliability under incomplete probability information. Journal of Engineering Mechanics, 112:85-104, 1986.
    • (1986) Journal of Engineering Mechanics , vol.112 , pp. 85-104
    • DerKiureghian, A.1    Liu, P.L.2
  • 37
    • 79955517920 scopus 로고    scopus 로고
    • Neural networks and principal component analysis
    • In Y. H. Hu and J. N. Hwang, editors, C.R.C. Press, Boca Raton
    • K. L. Diamantaras. Neural networks and principal component analysis. In Y. H. Hu and J. N. Hwang, editors, Handbook of Neural Network Signal Processing. C.R.C. Press, Boca Raton, 2001.
    • (2001) Handbook of Neural Network Signal Processing
    • Diamantaras, K.L.1
  • 38
    • 0018754283 scopus 로고
    • Generalized second moment reliability index
    • O. Ditlevsen. Generalized second moment reliability index. Journal of Structural Mechanics, 7:435-451, 1979.
    • (1979) Journal of Structural Mechanics , vol.7 , pp. 435-451
    • Ditlevsen, O.1
  • 43
    • 0026394311 scopus 로고
    • Essay on reliability index, probabilistic interpetation of safety factor and convex models of uncertainty
    • In F. Casciati and J. B. Roberts, editors, Springer-Verlag, Wien
    • I. Elishakoff. Essay on reliability index, probabilistic interpetation of safety factor and convex models of uncertainty. In F. Casciati and J. B. Roberts, editors, Reliability Problems: General principles and Applications in Mechanics of Solids and Structures, pages 237-271. Springer-Verlag, Wien, 1991.
    • (1991) Reliability Problems: General principles and Applications in Mechanics of Solids and Structures , pp. 237-271
    • Elishakoff, I.1
  • 44
    • 0002734783 scopus 로고    scopus 로고
    • A method for multi-parameter PDF estimation of random variables
    • G. K. Er. A method for multi-parameter PDF estimation of random variables. Structural Safety, 20:25-36, 1998.
    • (1998) Structural Safety , vol.20 , pp. 25-36
    • Er, G.K.1
  • 45
    • 0024774612 scopus 로고
    • Response-surface approach for reliability analysis
    • L. Faravelli. Response-surface approach for reliability analysis. Journal of the Engineering Mechanics, 115:2763-2781, 1989.
    • (1989) Journal of the Engineering Mechanics , vol.115 , pp. 2763-2781
    • Faravelli, L.1
  • 49
    • 38249015176 scopus 로고
    • An efficient sampling scheme: Updated Latin Hypercube Sampling
    • A. Florian. An efficient sampling scheme: Updated Latin Hypercube Sampling. Probabilistic Engineering Mechanics, 7:123-130, 1992.
    • (1992) Probabilistic Engineering Mechanics , vol.7 , pp. 123-130
    • Florian, A.1
  • 50
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55:119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 52
    • 0033008165 scopus 로고    scopus 로고
    • Stochastic finite elements with multiple random non-Gaussian properties
    • R. Ghanem. Stochastic finite elements with multiple random non-Gaussian properties. Journal of Engineering Mechanics, 125:26-40, 1999.
    • (1999) Journal of Engineering Mechanics , vol.125 , pp. 26-40
    • Ghanem, R.1
  • 53
    • 0345483634 scopus 로고    scopus 로고
    • Hybrid stochastic finite elements and generalized monte carlo simulation
    • R. G. Ghanem. Hybrid stochastic finite elements and generalized monte carlo simulation. ASME Journal of Applied Mechanics, 65:1004-1009, 1998.
    • (1998) ASME Journal of Applied Mechanics , vol.65 , pp. 1004-1009
    • Ghanem, R.G.1
  • 57
    • 0024991997 scopus 로고
    • Networks and the best approximation property
    • F. Girosi and T. Poggio. Networks and the best approximation property. Biological Cybernetics, 63: 169-176, 1990.
    • (1990) Biological Cybernetics , vol.63 , pp. 169-176
    • Girosi, F.1    Poggio, T.2
  • 59
    • 0141924120 scopus 로고    scopus 로고
    • Comparison of response surface and neural network with other methods for structural reliability analysis
    • H. M. Gomes and A. M. Awruch. Comparison of response surface and neural network with other methods for structural reliability analysis. Structural Safety, 26:49-67, 2004.
    • (2004) Structural Safety , vol.26 , pp. 49-67
    • Gomes, H.M.1    Awruch, A.M.2
  • 61
    • 0035742030 scopus 로고    scopus 로고
    • Effect of response surface parameter variation on structural reliability estimates
    • X. L. Guan and R.E. Mdchers. Effect of response surface parameter variation on structural reliability estimates. Structural Safety, 23:429-444, 2001.
    • (2001) Structural Safety , vol.23 , pp. 429-444
    • Guan, X.L.1    Mdchers, R.E.2
  • 64
    • 0022440711 scopus 로고
    • An efficient sampling method for probability of failure calculation
    • A. Harbitz. An efficient sampling method for probability of failure calculation. Structural Safety, 3:109-115., 1986.
    • (1986) Structural Safety , vol.3 , pp. 109-115
    • Harbitz, A.1
  • 66
    • 0001683814 scopus 로고
    • Layered neural networks with gaussian hidden units as universal approximations
    • E. J. Hartman, J. D. Keeler, and J. M. Kowalski. Layered neural networks with gaussian hidden units as universal approximations. Neural Computation, 2:210-215, 1990.
    • (1990) Neural Computation , vol.2 , pp. 210-215
    • Hartman, E.J.1    Keeler, J.D.2    Kowalski, J.M.3
  • 67
    • 0041946590 scopus 로고    scopus 로고
    • Non-parametric estimation of failure probabilities
    • In F. Casciati and B. Roberts, editors, CRC Press, Boca Raton
    • A. M. Hasofer. Non-parametric estimation of failure probabilities. In F. Casciati and B. Roberts, editors, Mathematical Models for Structural Reliability Analysis, pages 195-226. CRC Press, Boca Raton, 1996.
    • (1996) Mathematical Models for Structural Reliability Analysis , pp. 195-226
    • Hasofer, A.M.1
  • 74
    • 0030402236 scopus 로고    scopus 로고
    • Approximate reliability analysis using normal polynomial and simulation results
    • H. P. Hong and N. C. Lind. Approximate reliability analysis using normal polynomial and simulation results. Structural Safety, 18:329-339., 1996.
    • (1996) Structural Safety , vol.18 , pp. 329-339
    • Hong, H.P.1    Lind, N.C.2
  • 75
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. M. Hornik, M. Stinchcommbe, and H. White. Multilayer feedforward networks are universal approximators. Neural Networks, 2:359-366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.M.1    Stinchcommbe, M.2    White, H.3
  • 78
    • 0036131735 scopus 로고    scopus 로고
    • Analysis of one-dimensional stochastic finite elements using neural networks
    • J. E. Hurtado. Analysis of one-dimensional stochastic finite elements using neural networks. Probabilistic Engineering Mechanics, 17:35-44, 2002.
    • (2002) Probabilistic Engineering Mechanics , vol.17 , pp. 35-44
    • Hurtado, J.E.1
  • 80
    • 1542263313 scopus 로고    scopus 로고
    • A classification approach for reliability analysis with stochastic finite element modeling
    • J. E. Hurtado and D. A. Alvarez. A classification approach for reliability analysis with stochastic finite element modeling. Journal of Structural Engineering, 129:1141-1149, 2003.
    • (2003) Journal of Structural Engineering , vol.129 , pp. 1141-1149
    • Hurtado, J.E.1    Alvarez, D.A.2
  • 81
    • 41149103583 scopus 로고    scopus 로고
    • Monte Carlo analysis of structural systems using neural networks
    • In G.T. Schueller and P.D. Spanos, editors, MCS-2000, Monte Carlo, Monaco, 18-21 June 2000, Lisse, The Netherlands, A.A. Balkema, Publishers
    • J. E. Hurtado, D. A. Alvarez, and A. H. Barbat. Monte Carlo analysis of structural systems using neural networks. In G.T. Schueller and P.D. Spanos, editors, Monte Carlo Simulation-Proceedings of the International Conference on Monte Carlo simulation, MCS-2000, Monte Carlo, Monaco, 18-21 June 2000, pages 265-271, Lisse, The Netherlands, 2000. A.A. Balkema, Publishers.
    • (2000) Monte Carlo Simulation-Proceedings of the International Conference on Monte Carlo simulation , pp. 265-271
    • Hurtado, J.E.1    Alvarez, D.A.2    Barbat, A.H.3
  • 82
    • 0347110902 scopus 로고    scopus 로고
    • Analysis of stochastic finite elements using neural classifiers
    • In R. B. Corotis, G. T. Schueller, and M. Shinozuka, editors, ICOSSAR 01, Newport Beach, California, 17-22 June, Lisse, The Netherlands, 2001. A.A. Balkema, Publishers
    • J. E. Hurtado and A. H. Barbat. Analysis of stochastic finite elements using neural classifiers. In R. B. Corotis, G. T. Schueller, and M. Shinozuka, editors, Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability, ICOSSAR 01, Newport Beach, California, 17-22 June 2001, page 132, Lisse, The Netherlands, 2001. A.A. Balkema, Publishers.
    • (2001) Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability , pp. 132
    • Hurtado, J.E.1    Barbat, A.H.2
  • 83
    • 0032306337 scopus 로고    scopus 로고
    • Fourier-based maximum entropy method in stochastic dynamics
    • J. E. Hurtado and A.H. Barbat. Fourier-based maximum entropy method in stochastic dynamics. Structural Safety, 20:221-235, 1998.
    • (1998) Structural Safety , vol.20 , pp. 221-235
    • Hurtado, J.E.1    Barbat, A.H.2
  • 84
    • 0035812344 scopus 로고    scopus 로고
    • On the applicability of neural networks for soil dynamics amplification analysis
    • J. E. Hurtado, J. M. Londono, and M. A. Meza. On the applicability of neural networks for soil dynamics amplification analysis. Soil Dynamics and Earthquake Engineering, 21:619-631, 2001.
    • (2001) Soil Dynamics and Earthquake Engineering , vol.21 , pp. 619-631
    • Hurtado, J.E.1    Londono, J.M.2    Meza, M.A.3
  • 86
    • 84900847494 scopus 로고
    • Small sample sensitivity analysis techniques for computer models with an application to risk assessment
    • R. L. Iman and W. J. Canover. Small sample sensitivity analysis techniques for computer models with an application to risk assessment. Communications in Statistics, Theory and Methods, A9:1749-1842., 1980.
    • (1980) Communications in Statistics, Theory and Methods , vol.A9 , pp. 1749-1842
    • Iman, R.L.1    Canover, W.J.2
  • 87
    • 0001557773 scopus 로고
    • Fuzzy regression analysis using neural networks
    • H. Ishibuchi and H. Tanaka. Fuzzy regression analysis using neural networks. Fuzzy Sets and Systems, 50:257-265, 1987.
    • (1987) Fuzzy Sets and Systems , vol.50 , pp. 257-265
    • Ishibuchi, H.1    Tanaka, H.2
  • 92
    • 0018021606 scopus 로고
    • Designing mechanical components to a specified reliability and confidence level
    • D. Kececioglu and G. Lamarre. Designing mechanical components to a specified reliability and confidence level. Nuclear Engineering and Design, 50:149-162, 1978.
    • (1978) Nuclear Engineering and Design , vol.50 , pp. 149-162
    • Kececioglu, D.1    Lamarre, G.2
  • 94
    • 0034298687 scopus 로고    scopus 로고
    • Solution to the practical problem of moments using non-classical orthogonal polynomials with applications for probabilistic analysis
    • C. A. Kennedy and IV. C. Lennox. Solution to the practical problem of moments using non-classical orthogonal polynomials with applications for probabilistic analysis. Probabilistic Engineering Mechanics, 15:371-379, 2000.
    • (2000) Probabilistic Engineering Mechanics , vol.15 , pp. 371-379
    • Kennedy, C.A.1    Lennox IV, C.2
  • 95
    • 0035399742 scopus 로고    scopus 로고
    • Moment operations on random variables, with applications for probabilistic analysis
    • C. A. Kennedy and W. C. Lennox. Moment operations on random variables, with applications for probabilistic analysis. Probabilistic Engineering Mechanics,] 6:253-259, 2001.
    • (2001) Probabilistic Engineering Mechanics , vol.6 , pp. 253-259
    • Kennedy, C.A.1    Lennox, W.C.2
  • 96
    • 0030673695 scopus 로고    scopus 로고
    • Response surface method using vector projected sampling points
    • S. H. Kim and S. W. Na. Response surface method using vector projected sampling points. Structural Safety, 19:3-19, 1997.
    • (1997) Structural Safety , vol.19 , pp. 3-19
    • Kim, S.H.1    Na, S.W.2
  • 100
    • 0003357515 scopus 로고    scopus 로고
    • Maximal margin perceptron
    • In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, The M. 1. T. Press, Cambridge
    • A. Kowalczyk. Maximal margin perceptron. In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 75-113. The M. 1. T. Press, Cambridge, 2000.
    • (2000) Advances in Large Margin Classifiers , pp. 75-113
    • Kowalczyk, A.1
  • 101
    • 0002824144 scopus 로고    scopus 로고
    • Learning processes in an asymmetric threshold network
    • Les Houches, 1986. Springer
    • Y. LeCun. Learning processes in an asymmetric threshold network. In Disordered Systems and Biological Organizations, pages 233-240, Les Houches, 1986. Springer.
    • In Disordered Systems and Biological Organizations , pp. 233-240
    • LeCun, Y.1
  • 104
    • 0001228444 scopus 로고
    • Multivariate distribution models with prescribed marginals and covariancet:I
    • P. L. Liu and A. DerKiureghian. Multivariate distribution models with prescribed marginals and covariancet:i. Probabilistic Engineering Mechanics, 1: 105-112, 1986.
    • (1986) Probabilistic Engineering Mechanics , vol.1 , pp. 105-112
    • Liu, P.L.1    DerKiureghian, A.2
  • 105
    • 0005314887 scopus 로고
    • Probabilistic finite element method
    • In C. (Raj) Sundararajan, editor, Chapman & Hall, New York
    • W. K. Liu, T. Belytschko, and Y. J. Lua. Probabilistic finite element method. In C. (Raj) Sundararajan, editor, Probabilistic Structural Mechanics Handbook, pages 70-105. Chapman & Hall, New York, 1995.
    • (1995) Probabilistic Structural Mechanics Handbook , pp. 70-105
    • Liu, W.K.1    Belytschko, T.2    Lua, Y.J.3
  • 106
    • 38249037224 scopus 로고
    • A pattern recognition approach to understanding the multi-layer perceptron
    • L.D. Lonstaff and J. F. Cross. A pattern recognition approach to understanding the multi-layer perceptron. Pattern Recognition Letters, 5:315-319, 1987.
    • (1987) Pattern Recognition Letters , vol.5 , pp. 315-319
    • Lonstaff, L.D.1    Cross, J.F.2
  • 110
    • 0002550596 scopus 로고    scopus 로고
    • Functional gradient techniques for combining classifiers
    • In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, The M. 1. T. Press, Cambridge
    • L. Mason, J. Baxter, P. L. Bartlett, and M. Frean. Functional gradient techniques for combining classifiers. In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 221-246. The M. 1. T. Press, Cambridge, 2000.
    • (2000) Advances in Large Margin Classifiers , pp. 221-246
    • Mason, L.1    Baxter, J.2    Bartlett, P.L.3    Frean, M.4
  • 112
    • 0025671210 scopus 로고
    • Importance sampling in structural systems
    • R. E. Melchers. Importance sampling in structural systems. Structural Safety, 9: 117-128, 1990.
    • (1990) Structural Safety , vol.9 , pp. 117-128
    • Melchers, R.E.1
  • 114
    • 0033896506 scopus 로고    scopus 로고
    • Rare events probabilities estimation by "Russian Roulette and Splitting" simulation technique
    • P. G. Melnik-Melnikov and E. S. Dekhtyaruk. Rare events probabilities estimation by "Russian Roulette and Splitting" simulation technique. Probabilistic Engineering Mechanics, 15:125-129, 2000.
    • (2000) Probabilistic Engineering Mechanics , vol.15 , pp. 125-129
    • Melnik-Melnikov, P.G.1    Dekhtyaruk, E.S.2
  • 115
    • 84880156857 scopus 로고    scopus 로고
    • Reliability a Segment with small amounts of experimental data
    • In R. B. Corotis, G. 1. Schueller, and M. Shinozuka, editors, ICOSSAR 01, Newport Beach, California, 17-22 June 2001, Lisse, The Netherlands, A.A. Balkema, Publishers
    • J. Mencik. Reliability aS8essment with small amounts of experimental data. In R. B. Corotis, G. 1. Schueller, and M. Shinozuka, editors, Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability, ICOSSAR 01, Newport Beach, California, 17-22 June 2001, page 187, Lisse, The Netherlands, 2001. A.A. Balkema, Publishers.
    • (2001) Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability , pp. 187
    • Mencik, J.1
  • 117
    • 0006863682 scopus 로고
    • Aproximation properties of a multilayered feed forward artificial neural network
    • H. Mhaskar. Aproximation properties of a multilayered feed forward artificial neural network. Advances in Computational Mathematics, 1:61-80, 1993.
    • (1993) Advances in Computational Mathematics , vol.1 , pp. 61-80
    • Mhaskar, H.1
  • 118
    • 0032740010 scopus 로고    scopus 로고
    • Error evaluations for the computation of failure probability in static structural reliability problems
    • J. C. Mitteau. Error evaluations for the computation of failure probability in static structural reliability problems. Probabilistic Engineering Mechanics, 14:119-135, 1999.
    • (1999) Probabilistic Engineering Mechanics , vol.14 , pp. 119-135
    • Mitteau, J.C.1
  • 120
    • 0002243162 scopus 로고
    • Determination des distributions dont les marges sont donees
    • A. Nataf. Determination des distributions dont les marges sont donees. Comptes rendues de l'Academie des Sciences, 225:42-43, 1962.
    • (1962) Comptes rendues de l'Academie des Sciences , vol.225 , pp. 42-43
    • Nataf, A.1
  • 122
    • 0037212955 scopus 로고    scopus 로고
    • On Latin Hypercube sampling for structural reliability analysis
    • A. Olsson, C. Sandberg, and O. Dahlblom. On Latin Hypercube sampling for structural reliability analysis. Structural Safety, 25:47-68, 2003.
    • (2003) Structural Safety , vol.25 , pp. 47-68
    • Olsson, A.1    Sandberg, C.2    Dahlblom, O.3
  • 123
  • 124
    • 0001473437 scopus 로고
    • On estimation of probability density function and mode
    • E. Parzen. On estimation of probability density function and mode. Annals of Mathematical Statistics, 33: 1065-1076, 1962.
    • (1962) Annals of Mathematical Statistics , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 125
    • 0036639976 scopus 로고    scopus 로고
    • Implementation of KarhunenLoeve expansion for simulation using a wavelet-Caler kin scheme
    • K. K. Phoon, S. P. Huang, and S. T. Quek. Implementation of KarhunenLoeve expansion for simulation using a wavelet-Caler kin scheme. Probabilistic Engineering Mechanics, 17:293-303, 2002.
    • (2002) Probabilistic Engineering Mechanics , vol.17 , pp. 293-303
    • Phoon, K.K.1    Huang, S.P.2    Quek, S.T.3
  • 126
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • In B. Scholkopf, C. J. C. Burges, and A. Smola, editors, The M. I. T. Press, Cambridge
    • J. C. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Scholkopf, C. J. C. Burges, and A. Smola, editors, Advances in Kernel Methods, pages 185-208. The M. I. T. Press, Cambridge, 1999.
    • (1999) Advances in Kernel Methods , pp. 185-208
    • Platt, J.C.1
  • 129
    • 0036647883 scopus 로고    scopus 로고
    • Deterministic integration algorithms for stochastic response computations of FE-systems
    • H. J. Pradlwarter. Deterministic integration algorithms for stochastic response computations of FE-systems. Computers and Structures, 80:1489-1502, 2002.
    • (2002) Computers and Structures , vol.80 , pp. 1489-1502
    • Pradlwarter, H.J.1
  • 131
    • 0345073157 scopus 로고    scopus 로고
    • Assessment of low probability events of dynamical systems by controlled Monte Carlo simulation
    • H. J. Pradlwarter and C. I. Schueller. Assessment of low probability events of dynamical systems by controlled Monte Carlo simulation. Probabilistic Engineering Mechanics, 14:213-227, 1999.
    • (1999) Probabilistic Engineering Mechanics , vol.14 , pp. 213-227
    • Pradlwarter, H.J.1    Schueller, C.I.2
  • 133
    • 0018033230 scopus 로고
    • Structural reliability under combined load sequences
    • R. Rackwitz and B. Fiessler. Structural reliability under combined load sequences. Computers and Structures, 9:489-494. 1978.
    • (1978) Computers and Structures , vol.9 , pp. 489-494
    • Rackwitz, R.1    Fiessler, B.2
  • 134
    • 43949162529 scopus 로고
    • A new look at the response surface approach for reliability analysis
    • M. R. Rajashekhar and B. R. Ellingwood. A new look at the response surface approach for reliability analysis. Structural Safety, 12:205-220, 1993.
    • (1993) Structural Safety , vol.12 , pp. 205-220
    • Rajashekhar, M.R.1    Ellingwood, B.R.2
  • 135
    • 0002829165 scopus 로고    scopus 로고
    • Robust ensemple learning
    • In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, The M. 1. T. Press, Cambridge
    • G. Riitsch, B. Scholkopf, A. Smola, S. Mika, T. Onoda, and K. R. Muller. Robust ensemple learning. In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Class-fiers, pages 207-220. The M. 1. T. Press, Cambridge, 2000.
    • (2000) Advances in Large Margin Class-fiers , pp. 207-220
    • Riitsch, G.1    Scholkopf, B.2    Smola, A.3    Mika, S.4    Onoda, T.5    Muller, K.R.6
  • 143
    • 0013406706 scopus 로고    scopus 로고
    • Computing the Bayes kernel classifier
    • In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, The M. 1. T. Press, Cambridge
    • P. Rujan and M. Marchand. Computing the Bayes kernel classifier. In A. Smola, P. Bartlett, B. Scholkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 329-348. The M. 1. T. Press, Cambridge, 2000.
    • (2000) Advances in Large Margin Classifiers , pp. 329-348
    • Rujan, P.1    Marchand, M.2
  • 145
    • 0345849878 scopus 로고    scopus 로고
    • A neural network-based response surface approach for computing failure probabilities
    • In R. B. Corotis, G. 1. Schueller, and M. Shinozuka, editors, ICaSSAR 01, Newport Beach, California, 17-22 June, Lisse, The Netherlands, A.A. Balkema, Publishers
    • T. Sasaki. A neural network-based response surface approach for computing failure probabilities. In R. B. Corotis, G. 1. Schueller, and M. Shinozuka, editors, Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability, ICaSSAR 01, Newport Beach, California, 17-22 June 2001, page 257, Lisse, The Netherlands, 2001. A.A. Balkema, Publishers.
    • (2001) Structural Safety and Reliability-Proceedings of the International Conference on Structural Safety and Reliability , pp. 257
    • Sasaki, T.1
  • 149
    • 0002570938 scopus 로고    scopus 로고
    • Kernel principal component analysis
    • In B. Scholkopf, C. J. C. Burges, and A. Smola, editors, The M. 1. T. Press, Cambridge
    • B. Scholkopf, A. Smola, and K. R. Muller. Kernel principal component analysis. In B. Scholkopf, C. J. C. Burges, and A. Smola, editors, Advances in Kernel Methods, pages 327-352. The M. 1. T. Press, Cambridge, 1999.
    • (1999) Advances in Kernel Methods , pp. 327-352
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 151
    • 0023401249 scopus 로고
    • A critical appraisal of methods to determine failure probabilities
    • G. 1. Schueller and R. Stix. A critical appraisal of methods to determine failure probabilities. Structural Safety, 4:293-309, 1987.
    • (1987) Structural Safety , vol.4 , pp. 293-309
    • Schueller, G.L.1    Stix, R.2
  • 154
    • 0001959923 scopus 로고
    • Stochastic fields and their digital simulation
    • In G.1. Schueller and M. Shinozuka, editors, Martinus Nijhoff Publishers, Dordrecht
    • M. Shinozuka. Stochastic fields and their digital simulation. In G.1. Schueller and M. Shinozuka, editors, Stochastic Methods in Structural Dynamics, pages 93-133. Martinus Nijhoff Publishers, Dordrecht, 1987.
    • (1987) Stochastic Methods in Structural Dynamics , pp. 93-133
    • Shinozuka, M.1
  • 159
    • 0028436747 scopus 로고
    • Galerkin sampling method for stochastic mechanics problems
    • P. D. Spanos and B. A. Zeldin. Galerkin sampling method for stochastic mechanics problems. Journal of Engineering Mechanics, 120:1091-1106, 1994.
    • (1994) Journal of Engineering Mechanics , vol.120 , pp. 1091-1106
    • Spanos, P.D.1    Zeldin, B.A.2
  • 161
    • 84880170440 scopus 로고
    • Stability investigation of long-span bridges using indicial functions with oscillatory terms
    • In 1. Elishakoff and Y. K. Lin, editors, SpringerVerlag, Berlin
    • A. Sternberg. Stability investigation of long-span bridges using indicial functions with oscillatory terms. In 1. Elishakoff and Y. K. Lin, editors, Stochastic Structural Dynamics 2-New Practical Applications, pages 128-145. SpringerVerlag, Berlin, 1991.
    • (1991) Stochastic Structural Dynamics 2-New Practical Applications , pp. 128-145
    • Sternberg, A.1
  • 168
    • 84899032239 scopus 로고    scopus 로고
    • The relevance vector machine
    • In S. A. Solla, T. K. Leen, and K. R. Miiller, editors, The M. 1. T. Press, Cambridge
    • M. E. Tipping. The relevance vector machine. In S. A. Solla, T. K. Leen, and K. R. Miiller, editors, Advances in Neural Information Processing Systems, page 652 658. The M. 1. T. Press, Cambridge, 2000.
    • (2000) Advances in Neural Information Processing Systems , pp. 652658
    • Tipping, M.E.1
  • 169
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector machine
    • M. E. Tipping. Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1:211-244, 2001.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 170
    • 0003007938 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • In Pat Langley, editor, Stanford, Morgan Kaufmann Publishers, San Francisco
    • Simon Tong and Daphne Koller. Support vector machine active learning with applications to text classification. In Pat Langley, editor, Proceedings of ICML-00, 17th International Conference on Machine Learning, pages 999-1006, Stanford, 2000. Morgan Kaufmann Publishers, San Francisco.
    • (2000) Proceedings of ICML-00, 17th International Conference on Machine Learning , pp. 999-1006
    • Tong, S.1    Koller, D.2
  • 171
    • 0030196381 scopus 로고    scopus 로고
    • Maximum entropy principle and non-stationary distributions of stochastic systems
    • J. Trbicki and K. Sobczyk. Maximum entropy principle and non-stationary distributions of stochastic systems. Probabilistic Engineering Mechanics, 11: 169-178, 1996.
    • (1996) Probabilistic Engineering Mechanics , vol.11 , pp. 169-178
    • Trbicki, J.1    Sobczyk, K.2
  • 176
    • 0001024505 scopus 로고
    • On the uniform convergence of relative frequencies of events to thir probabilities
    • V. N. Vapnik and A. Ja. Chervonenkis. On the uniform convergence of relative frequencies of events to thir probabilities. Theory of Probability and its Applications, 16:264-280, 1971.
    • (1971) Theory of Probability and its Applications , vol.16 , pp. 264-280
    • Vapnik, V.N.1    Chervonenkis, A.J.2
  • 178
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation and signal processing
    • V. N. Vapnik, S. Golowich, and A. Smola. Support vector method for function approximation, regression estimation and signal processing. Advances in Neural Information Processing Systems, 9:281-287, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.N.1    Golowich, S.2    Smola, A.3
  • 180
    • 0001873883 scopus 로고    scopus 로고
    • Support vector machines, Reproducing Kernel Hilbert Spaces and randomized GACV
    • In B. Scholkopf, C. J. C. Burges, and A. Smola, editors, The M. I. T. Press, Cambridge
    • G. Wahba. Support vector machines, Reproducing Kernel Hilbert Spaces and randomized GACV. In B. Scholkopf, C. J. C. Burges, and A. Smola, editors, Advances in Kernel Methods, pages 69-88. The M. I. T. Press, Cambridge, 1999.
    • (1999) Advances in Kernel Methods , pp. 69-88
    • Wahba, G.1
  • 183
    • 0024101651 scopus 로고
    • Nonlinear vibration modes for extremes and fatigue
    • S. R. Winterstein. Nonlinear vibration modes for extremes and fatigue. Journal of Engineering Mechanics, 1114:1772-1790, 1988.
    • (1988) Journal of Engineering Mechanics , vol.1114 , pp. 1772-1790
    • Winterstein, S.R.1
  • 184
    • 0037379404 scopus 로고    scopus 로고
    • Discussion on: Moment methods for structural reliability
    • L. Xu and G. Cheng. Discussion on: moment methods for structural reliability. Structural Safety, 25:193-199, 2003.
    • (2003) Structural Safety , vol.25 , pp. 193-199
    • Xu, L.1    Cheng, G.2
  • 186
    • 0011013260 scopus 로고    scopus 로고
    • Random field representation and synthesis using wavelet bases
    • B. A. Zeldin and P. D. Spanos. Random field representation and synthesis using wavelet bases. Journal of Applied Mechanics ASME, 63:946-952, 1996.
    • (1996) Journal of Applied Mechanics ASME , vol.63 , pp. 946-952
    • Zeldin, B.A.1    Spanos, P.D.2
  • 187
    • 0032874461 scopus 로고    scopus 로고
    • A general procedure for first/second-order reliability method (FORM/SORM)
    • Y. G. Zhao and T. Ono. A general procedure for first/second-order reliability method (FORM/SORM). Structural Safety, 21:955-112, 1999.
    • (1999) Structural Safety , vol.21 , pp. 112-955
    • Zhao, Y.G.1    Ono, T.2
  • 190
    • 0035083742 scopus 로고    scopus 로고
    • Moment methods for structural reliability
    • Y. G. Zhao and T. Ono. Moment methods for structural reliability. Structural Safety, 23:47-75, 2001.
    • (2001) Structural Safety , vol.23 , pp. 47-75
    • Zhao, Y.G.1    Ono, T.2
  • 191
    • 0002671607 scopus 로고
    • Descriptive sampling in structural safety
    • K. Ziha. Descriptive sampling in structural safety. Structural Safety, 17:33-41, 1995.
    • (1995) Structural Safety , vol.17 , pp. 33-41
    • Ziha, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.