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Volumn , Issue , 2007, Pages 2110-2116

Neural network initialization with prototypes - Function approximation in engineering mechanics applications

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; MECHANICS; POLYNOMIAL APPROXIMATION; VEGETATION;

EID: 51749098219     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371284     Document Type: Conference Paper
Times cited : (13)

References (26)
  • 2
    • 35549009979 scopus 로고    scopus 로고
    • Neural networks in civil engineering: A review
    • B. H. V. Topping, Ed. Saxe-Coburg Publications
    • I. Flood, "Neural networks in civil engineering: A review," in Civil and Structural Engineering Computing: 2001, B. H. V. Topping, Ed. Saxe-Coburg Publications, 2002, pp. 185-209.
    • (2002) Civil and Structural Engineering Computing: 2001 , pp. 185-209
    • Flood, I.1
  • 3
    • 0024861871 scopus 로고
    • Approximation by superpositions of sigmoidal function
    • G. Cybenko, "Approximation by superpositions of sigmoidal function," Mathematics of Control, Signals, and Systems, vol. 2, pp. 303-314, 1989.
    • (1989) Mathematics of Control, Signals, and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 4
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2, pp. 359-366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 6
    • 0025536870 scopus 로고
    • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
    • July
    • D. Nguyen and B. Widrow, "Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights," in Proceedings of the IJCNN, vol. III, July 1990 pp. 21-26.
    • (1990) Proceedings of the IJCNN , vol.3 , pp. 21-26
    • Nguyen, D.1    Widrow, B.2
  • 7
    • 0242601393 scopus 로고    scopus 로고
    • Parametric and nonparametric identification of nonlinear systems,
    • Ph.D. Dissertation, Columbia University
    • J. S. Pei, "Parametric and nonparametric identification of nonlinear systems," Ph.D. Dissertation, Columbia University, 2001.
    • (2001)
    • Pei, J.S.1
  • 8
    • 33751081518 scopus 로고    scopus 로고
    • A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part i - formulation
    • December
    • J. S. Pei and A. W. Smyth, "A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part i - formulation," ASCE Journal of Engineering Mechanics, vol. 132 no. 12 pp. 1290-1300, December 2006.
    • (2006) ASCE Journal of Engineering Mechanics , vol.132 , Issue.12 , pp. 1290-1300
    • Pei, J.S.1    Smyth, A.W.2
  • 9
    • 33751071584 scopus 로고    scopus 로고
    • A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part ii - applications
    • December
    • _, "A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part ii - applications," ASCE Journal of Engineering Mechanics, vol. 132, no. 12, pp. 1310-1312, December 2006.
    • (2006) ASCE Journal of Engineering Mechanics , vol.132 , Issue.12 , pp. 1310-1312
    • Pei, J.S.1    Smyth, A.W.2
  • 10
    • 23244455932 scopus 로고    scopus 로고
    • Mapping polynomial fitting into feedforward neural networks for modeling nonlinear dynamic systems and beyond
    • J. S. Pei, J. P. Wright, and A. W. Smyth, "Mapping polynomial fitting into feedforward neural networks for modeling nonlinear dynamic systems and beyond," Computer Methods in Applied Mechanics and Engineering, vol. 194, no. 42-44, pp. 4481-4505, 2005.
    • (2005) Computer Methods in Applied Mechanics and Engineering , vol.194 , Issue.42-44 , pp. 4481-4505
    • Pei, J.S.1    Wright, J.P.2    Smyth, A.W.3
  • 11
    • 35548988636 scopus 로고    scopus 로고
    • Constructing multilayer feedforward neural networks to approximate nonlinear functions in engineering mechanics applications
    • under review
    • J. S. Pei and E. C. Mai, "Constructing multilayer feedforward neural networks to approximate nonlinear functions in engineering mechanics applications," ASME Journal of Applied Mechkanics, 2006, under review.
    • (2006) ASME Journal of Applied Mechkanics
    • Pei, J.S.1    Mai, E.C.2
  • 12
    • 85004210148 scopus 로고
    • A nonparametric identification technique for nonlinear dynamic problems
    • June
    • S. F. Masri and T. K. Caughey, "A nonparametric identification technique for nonlinear dynamic problems," Journal of Applied Mechanics, vol. 46, pp. 433-447, June 1979.
    • (1979) Journal of Applied Mechanics , vol.46 , pp. 433-447
    • Masri, S.F.1    Caughey, T.K.2
  • 13
    • 85024528850 scopus 로고
    • Methods of random vibration for inelastic structures
    • Y. K. Wen, "Methods of random vibration for inelastic structures," Appl. Mech. Rev., ASME, vol. 42, no. 2, pp. 39-52, 1989.
    • (1989) Appl. Mech. Rev., ASME , vol.42 , Issue.2 , pp. 39-52
    • Wen, Y.K.1
  • 14
    • 33751079982 scopus 로고    scopus 로고
    • Non-linear vibrations classnotes, course 20-263-781
    • D. E. Adams and R. J. Allemang, "Non-linear vibrations classnotes, course 20-263-781," 2000.
    • (2000)
    • Adams, D.E.1    Allemang, R.J.2
  • 16
    • 0002748218 scopus 로고
    • How neural nets work
    • D. Anderson, Ed. American Institute of Physics
    • A. Lapedes and R. Farber, "How neural nets work," in Neural Information Processing Systems, D. Anderson, Ed. American Institute of Physics, 1988, pp. 442-456.
    • (1988) Neural Information Processing Systems , pp. 442-456
    • Lapedes, A.1    Farber, R.2
  • 17
    • 0027908306 scopus 로고
    • New approach to selection of initial values of weights in neural function approximation
    • S. Osowski, "New approach to selection of initial values of weights in neural function approximation," Electronic Letters, vol. 29, no. 3, pp. 313-315, 1993.
    • (1993) Electronic Letters , vol.29 , Issue.3 , pp. 313-315
    • Osowski, S.1
  • 19
    • 0000041417 scopus 로고
    • Neural networks for optimal approximation of smooth and analytic functions
    • H. N. Mhaskar, "Neural networks for optimal approximation of smooth and analytic functions," Neural Computation, vol. 8, pp. 164-177, 1995.
    • (1995) Neural Computation , vol.8 , pp. 164-177
    • Mhaskar, H.N.1
  • 20
  • 22
    • 0027242809 scopus 로고
    • Initializing back propagation networks with prototypes
    • T. Denoeux and Lengellé, "Initializing back propagation networks with prototypes," Neural Networks, vol. 6, pp. 351-363, 1993.
    • (1993) Neural Networks , vol.6 , pp. 351-363
    • Denoeux, T.1    Lengellé2
  • 23
    • 35548993016 scopus 로고    scopus 로고
    • Deterministic excitation forces for simulation and identification of nonlinear hysteretic sdof systems
    • to appear
    • J. S. Pei and K. Piyawat, "Deterministic excitation forces for simulation and identification of nonlinear hysteretic sdof systems," ASCE Journal of Engineering Mechanics, 2007, to appear.
    • (2007) ASCE Journal of Engineering Mechanics
    • Pei, J.S.1    Piyawat, K.2
  • 24
    • 0000443781 scopus 로고
    • Ill-conditioning in neural network training problems
    • May
    • S. Saarine, R. Bramley, and G. Cybenko, "Ill-conditioning in neural network training problems," SIAM J. Sci. Comput., vol. 14, no. 3, pp. 693-714, May 1993.
    • (1993) SIAM J. Sci. Comput , vol.14 , Issue.3 , pp. 693-714
    • Saarine, S.1    Bramley, R.2    Cybenko, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.