-
1
-
-
1542299855
-
A review of structural health monitoring literature: 1996-2001
-
Technical Report, Los Alamos National Laboratory, LA-13976-MS
-
A review of structural health monitoring literature: 1996-2001, Technical Report, Los Alamos National Laboratory, LA-13976-MS, 2003
-
(2003)
-
-
-
2
-
-
85001575151
-
Special section: Phase i of the iasc-asce structural health monitoring benchmark
-
Special section: Phase i of the iasc-asce structural health monitoring benchmark, ASCE J. Engrg. Mech. 130 (1) (2004).
-
(2004)
ASCE J. Engrg. Mech.
, vol.130
, Issue.1
-
-
-
3
-
-
38249021289
-
Developments in the force-state mapping technique for non-linear systems and the extension to the location of non-linear elements in a lumped-parameter system
-
M. Al-Hadid J. Wright Developments in the force-state mapping technique for non-linear systems and the extension to the location of non-linear elements in a lumped-parameter system Mech. Systems Signal Process. 3 3 1989 269-290
-
(1989)
Mech. Systems Signal Process.
, vol.3
, Issue.3
, pp. 269-290
-
-
Al-Hadid, M.1
Wright, J.2
-
4
-
-
0028977380
-
Identification of hysteretic oscillators under earthquake loading by nonparametric models
-
F. Benedettini D. Capecchi F. Vestroni Identification of hysteretic oscillators under earthquake loading by nonparametric models ASCE J. Engrg. Mech. 121 5 1995 606-612
-
(1995)
ASCE J. Engrg. Mech.
, vol.121
, Issue.5
, pp. 606-612
-
-
Benedettini, F.1
Capecchi, D.2
Vestroni, F.3
-
5
-
-
0024861871
-
Approximation by superpositions of sigmoidal function
-
G. Cybenko Approximation by superpositions of sigmoidal function Math. Control Signals Systems 2 1989 303-314
-
(1989)
Math. Control Signals Systems
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
8
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik M. Stinchcombe H. White Multilayer feedforward networks are universal approximators Neural Networks 2 1989 359-366
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
9
-
-
0343296749
-
Neural net and traditional classifiers
-
D. Anderson (Ed.) American Institute of Physics New York
-
W. Huang R. Lippmann Neural net and traditional classifiers in: D. Anderson (Ed.) Neural Information Processing Systems 1988 American Institute of Physics New York 387-396
-
(1988)
Neural Information Processing Systems
, pp. 387-396
-
-
Huang, W.1
Lippmann, R.2
-
10
-
-
0025503458
-
Constructive approximations for neural networks by sigmoidal functions
-
L. Jones Constructive approximations for neural networks by sigmoidal functions Proc. IEEE 78 10 1990 1586-1589
-
(1990)
Proc. IEEE
, vol.78
, Issue.10
, pp. 1586-1589
-
-
Jones, L.1
-
12
-
-
0024771475
-
Pattern classification using neural networks
-
November
-
R. Lippmann Pattern classification using neural networks IEEE Commun. Mag. November 1989 47-64
-
(1989)
IEEE Commun. Mag.
, pp. 47-64
-
-
Lippmann, R.1
-
14
-
-
85004210148
-
A nonparametric identification technique for nonlinear dynamic problems
-
June
-
S. Masri T. Caughey A nonparametric identification technique for nonlinear dynamic problems J. Appl. Mech. 46 June 1979 433-447
-
(1979)
J. Appl. Mech.
, vol.46
, pp. 433-447
-
-
Masri, S.1
Caughey, T.2
-
15
-
-
23244445612
-
Regularization of a programmed recurrent artificial neural network
-
A. Meade Regularization of a programmed recurrent artificial neural network J. Guidance Control Dynamics 2003
-
(2003)
J. Guidance Control Dynamics
-
-
Meade, A.1
-
16
-
-
23244461785
-
Feedforward artificial neural network initialization by mathematical models
-
A. Meade G. Lind B. Zeldin Feedforward artificial neural network initialization by mathematical models Internat. J. Neural Systems 1996
-
(1996)
Internat. J. Neural Systems
-
-
Meade, A.1
Lind, G.2
Zeldin, B.3
-
17
-
-
0000041417
-
Neural networks for optimal approximation of smooth and analytic functions
-
H. Mhaskar Neural networks for optimal approximation of smooth and analytic functions Neural Comput. 8 1995 164-177
-
(1995)
Neural Comput.
, vol.8
, pp. 164-177
-
-
Mhaskar, H.1
-
18
-
-
0005139453
-
Identification of nonlinear system parameters in space structure joints using the force-state mapping technique
-
Technical Report, MIT Space Systems Lab., SSL#16-85, July
-
K. O'Donnell, E. Crawley, Identification of nonlinear system parameters in space structure joints using the force-state mapping technique, pp. 170, Technical Report, MIT Space Systems Lab., SSL#16-85, July 1985
-
(1985)
, pp. 170
-
-
O'Donnell, K.1
Crawley, E.2
-
19
-
-
0242601393
-
Parametric and nonparametric identification of nonlinear systems
-
Ph.D. Dissertation, Columbia University
-
J. Pei, Parametric and nonparametric identification of nonlinear systems, Ph.D. Dissertation, Columbia University, 2001.
-
(2001)
-
-
Pei, J.1
-
20
-
-
33544456228
-
A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part i - Formulation
-
in press
-
J. Pei, A. Smyth, A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part i - formulation. ASCE J. Engrg. Mech., in press
-
ASCE J. Engrg. Mech.
-
-
Pei, J.1
Smyth, A.2
-
21
-
-
33544459658
-
A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part ii - Applications
-
in press
-
J. Pei, A. Smyth, A new approach to design multilayer feedforward neural network architecture in modeling nonlinear restoring forces: Part ii - Applications. ASCE J. Engrg. Mech., in press
-
ASCE J. Engrg. Mech.
-
-
Pei, J.1
Smyth, A.2
-
22
-
-
3042512063
-
Analysis and modification of volterra/wiener neural networks for identification of nonlinear hysteretic dynamic systems
-
J. Pei A. Smyth E. Kosmatopoulos Analysis and modification of volterra/ wiener neural networks for identification of nonlinear hysteretic dynamic systems J. Sound Vib. 275 3-5 2004 693-718
-
(2004)
J. Sound Vib.
, vol.275
, Issue.3-5
, pp. 693-718
-
-
Pei, J.1
Smyth, A.2
Kosmatopoulos, E.3
-
23
-
-
0037336030
-
System identification of the Vincent Thomas suspension bridge using earthquake inputs
-
A. Smyth J. Pei S. Masri System identification of the Vincent Thomas suspension bridge using earthquake inputs Earthquake Engrg. Struct. Dynamics 32 2003 339-367
-
(2003)
Earthquake Engrg. Struct. Dynamics
, vol.32
, pp. 339-367
-
-
Smyth, A.1
Pei, J.2
Masri, S.3
-
24
-
-
0023541055
-
Geometric analysis of neural network capabilities
-
June
-
A. Wieland, R. Leighton, Geometric analysis of neural network capabilities, in: IEEE First Internal Conference on Neural Networks, vol. III, June 1987, pp. 385-392
-
(1987)
IEEE First Internal Conference on Neural Networks
, vol.3
, pp. 385-392
-
-
Wieland, A.1
Leighton, R.2
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