1 |
Pei, J.S., Smyth, A.W. and Kosmatopoulos, E.B. (2004), "Analysis and modification of Volterra/Wiener neural networks for the adaptive identification of non-linear hysteretic dynamic systems", Journal of Sound and Vibration, 275, 693-718.
DOI
ScienceOn
|
2 |
Peng, C.Y. (2010), "Risk assessment and modeling of debris flow", Master Thesis, Feng Chia University, Taiwan. (In Chinese)
|
3 |
Qian, N. (1999), "On the momentum term in gradient descent learning algorithms", Neural Networks, 12, 145-151.
DOI
ScienceOn
|
4 |
Vyas, N.S. and Chatterjee, A. (2011), "Non-parametric identification of rotor-bearing system through Volterra-Wiener theories", IUTAM Symposium on Emerging Trends in Rotor DynamicsIUTAM Bookseries, 1011, 309-320.
|
5 |
Yeh, Y.C. (2003), Applications and Practices of Neural Network Models, Scholars Books, Taiwan. (In Chinese)
|
6 |
Adnani, A., Basri, M., Chaibakhsh, N., Abdul Rahman, M.B. and Salleh, A.B. (2011), "Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester", Industrial Crops and Products, 33(1), 42-48.
DOI
ScienceOn
|
7 |
Barrio, R., Rodríguez, M., Abad, A. and Blesa, F. (2011), "Breaking the limits: the Taylor series method", Applied Mathematics and Computation, 217(20), 7940-7954.
DOI
ScienceOn
|
8 |
Chen, T.C., Han, D.J., Au, F.T.K. and Tham, L.G. (2003), "Acceleration of Levenberg-Marquardt training of neural networks with variable decay rate", International Joint Conference on Neural Networks Proceedings, Portland, Oregon, July, 1873-1878.
|
9 |
De Oliveira, M.A. (2011), "The influence of ARIMA-GARCH parameters in feed forward neural networks prediction", Neural Computing and Applications, 20, 687-701.
DOI
ScienceOn
|
10 |
Franz, M.O. and Scholkopf, B. (2006), "A unifying view of wiener and volterra theory and polynomial kernel regression", Neural Computation, 18(12), 3097-3118.
DOI
ScienceOn
|
11 |
Gao, Z. and Chen, X. (2011), "Structure data processing and damage identification based on wavelet and artificial neural network", Research Journal of Applied Sciences, Engineering and Technology, 3(10), 1203-1208.
|
12 |
Lin, J.W. and Chen, H.J. (2009), "Repetitive identification of structural systems using a nonlinear model parameter refinement approach", Shock and Vibration, 16(3), 229-240.
DOI
|
13 |
Haykin, S.O. (1994), Neural Networks: A Comprehensive Foundation, Prentice-Hall, Englewood Cliffs, NJ.
|
14 |
Kosmatopoulos, E.B., Smyth, A.W., Masri, S.F. and Chassiakos, A.G. (2001), "Robust adaptive neural estimation of restoring forces in nonlinear structures", Journal of Applied Mechanics, 68, 880-893.
DOI
ScienceOn
|
15 |
Lautour, O.R. and Omenzetter, P. (2010), "Damage classification and estimation in experimental structures using time series analysis and pattern recognition", Mechanical Systems and Signal Processing, 24, 1556-1569.
DOI
ScienceOn
|
16 |
Lin, J.W. (2010), "Mode-by-mode evaluation of structural systems using a bandpass-HHT filtering approach", Struct. Eng. Mech., 36(6), 697-714.
DOI
ScienceOn
|
17 |
Lin, J.W. (2011), "A hybrid algorithm based on EEMD and EMD for multi-mode signal processing", Struct. Eng. Mech., 39(6), 813-831.
DOI
ScienceOn
|
18 |
Lynch, J.P. and Loh, K.J. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", The Shock and Vibration Digest, 38(2), 91-128.
DOI
ScienceOn
|
19 |
Masri, S.F., Smyth, A.W., Chassiakos, A.G., Nakamura, M. and Caughey, T.K. (1999), "Training neural networks by adaptive random search techniques", Journal of Engineering Mechanics, 125(2), 123-132.
DOI
ScienceOn
|
20 |
MathWorks (1994), Document Central: Traingda, Retrieved October 30, 2012, from http://www.mathworks.com/help/nnet/ref/traingda.html
|
21 |
Park, H.S., Lee, H.M. and Adeli, H. (2007), "A new approach for health monitoring of structures: terrestrial laser scanning", Computer-Aided Civil and Infrastructure Engineering, 22, 19-30.
DOI
ScienceOn
|
22 |
Park, S., Ahmad, S., Yun, C.B. and Roh, Y. (2006), "Multiple crack detection of concrete structures using impedance-based structural health monitoring techniques", Experimental Mechanics, 46, 609-618.
DOI
ScienceOn
|