1 |
De Llera, J.C.L. and Chopra, A.K. (1995), "A simplified model for analysis and design of asymmetric‐plan buildings", Earthq. Eng. Struct. Dyn., 24(4), 573-594.
DOI
|
2 |
De Llera, J.C.L. and Chopra, A.K. (1995), "Understanding the inelastic seismic behaviour of asymmetric‐plan buildings", Earthq. Eng. Struct. Dyn., 24(4), 549-572.
DOI
|
3 |
Gevrey, M., Dimopoulos, I. and Lek, S. (2003), "Review and comparison of methods to study the contribution of variables in artificial neural network models", Ecol. Model., 160(3), 249-264.
DOI
|
4 |
Glantz, S.A. and Bryan, K.S. (1990), Primer of Applied Regression and Analysis of Variance, McGraw-Hill, New York, U.S.A.
|
5 |
Hakim, S.J.S. and Razak, H.A. (2013), "Adaptive neuro fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification", Struct. Eng. Mech., 45(6), 779-802.
DOI
|
6 |
Hejal, R. and Chopra, A.K. (1987), "Earthquake response of torsionally-coupled buildings", Earthquake Engineering Research Center, University of California, Berkeley, U.S.A.
|
7 |
Hejal, R. and Chopra, A.K. (1987), "Earthquake response of torsionally-coupled buildings", Earthquake Engineering Research Center, University of California, Berkeley, U.S.A.
|
8 |
Humar, J.M. and Fazileh, F. (2010), "Discussion of „seismic behavior of a single‐story asymmetric‐plan buildings under uniaxial excitation", Earthq. Eng. Struct. Dyn., 39(6), 705-708.
DOI
|
9 |
Inaudi, J.A. and De La Llera, J.C. (1992), "Dynamic analysis of nonlinear structures using state-space formulation and partitioned integration schemes", University of California, Berkeley, U.S.A.
|
10 |
Lagaros, N.D., Bakas, N. and Papadrakakis, M. (2009), "Optimum design approaches for improving the seismic performance of 3D RC buildings", J. Earthq. Eng., 13(3), 345-363.
DOI
|
11 |
Makridakis, S., Steven, C., Wheelwright, S.C. and Hyndman, R.J. (2008), Forecasting Methods and Applications, John Wiley & Sons, U.S.A.
|
12 |
Lagaros, N.D., Papadrakakis, M. and Bakas, N. (2006), "Automatic minimization of the rigidity eccentricity of 3D reinforced concrete buildings", J. Earthq. Eng., 10(4), 533-564.
DOI
|
13 |
Lawrence, S.C., and Lee, G. and Chung, T.A. (1997), "Lessons in neural network training: Overfitting may be harder than expected", Proceedings of the Ninth Innovative Applications of Artificial Intelligence Conference on Artificial Intelligence.
|
14 |
Li, P.H., Zhu, H.P., Luo, H. and Weng, S. (2015), "Structural damage identification based on genetically trained ANNs in beams", Smart Struct. Syst., 15(1), 227-244.
DOI
|
15 |
Llera, J.C.L.D. and Chopra, A.K. (1995), "Understanding the inelastic seismic behaviour of asymmetricplan buildings", Earthq. Eng. Struct. Dyn., 24(4), 549-572.
DOI
|
16 |
Lucchini, A., Monti, G. and Kunnath, S. (2010), "Nonlinear response of two-way asymmetric single-story building under biaxial excitation", J. Struct. Eng., 137(1), 34-40.
|
17 |
Marquardt, D.W. (1963), "An algorithm for least-squares estimation of nonlinear parameters", J. Soc. Ind. Appl. Math., 11(2), 431-441.
DOI
|
18 |
Mohammadhassani, M., Nezamabadi-pour M., Suhatril, M. and Shariati, M. (2013), "Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams", Struct. Eng. Mech., 46(6), 853-868.
DOI
|
19 |
Myslimaj, B. and Tso, W.K. (2002), "A strength distribution criterion for minimizing torsional response of asymmetric wall‐type systems", Earthq. Eng. Struct. Dyn., 31(1), 99-120.
DOI
|
20 |
Olden, J.D. and Jackson, D.A. (2002), "Illuminating the "black box": A randomization approach for understanding variable contributions in artificial neural networks", Ecol. Model., 154(1), 135-150.
DOI
|
21 |
Anagnostopoulos, S.A., Kyrkos, M.T. and Stathopoulos, K.G. (2015), "Earthquake induced torsion in buildings: Critical review and state of the art", Earthq. Struct., 8(2), 305-377.
DOI
|
22 |
Beycioglu, A., Emiroglu, M., Kocak, Y. and Subasi, S. (2015), "Analyzing the compressive strength of clinker mortars using approximate reasoning approaches-ANN vs MLR", Comput. Concrete, 15(1), 89-101.
DOI
|
23 |
Box, G.E. and Muller, M.E. (1958), "A note on the generation of random normal deviates", Ann. Math. Stat., 29(2), 610-611.
DOI
|
24 |
De La Llera, J.C. and Chopra, A.K. (1994), "Accidental and natural torsion in earthquake response and design of buildings", Earthquake Engineering Research Center, University of California, Berkeley, U.S.A.
|
25 |
Rojas, R. (2013), Neural Networks: A Systematic Introduction, Springer Science & Business Media.
|
26 |
Olden, J.D., Joy, M.K. and Death, R.G. (2004), "An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data", Ecol. Model., 178(3), 389-397.
DOI
|
27 |
Paulay, T. (1997), "Displacement-based design approach to earthquake-induced torsion in ductile buildings", Eng. Struct., 19(9), 699-707.
DOI
|
28 |
Paulay, T. (1998), "Torsional mechanisms in ductile building systems", Earthq. Eng. Struct. Dyn., 27(10), 1101-1121.
DOI
|
29 |
Stathi, C.G., Bakas, N.P., Lagaros, N.D. and Papadrakakis, M. (2015), Ratio of Torsion (ROT): An Index.
|
30 |
Tavakkol, S., Alapour, F., Kazemian, A., Hasaninejad, A., Ghanbari, A. and Ramezanianpour, A.A. (2013), "Prediction of lightweight concrete strength by categorized regression, MLR and ANN", Comput. Concrete, 12(2), 151-167.
DOI
|
31 |
Yavuz, G. (2016), "Shear strength estimation of RC deep beams using the ANN and strut-and-tie approaches", Struct. Eng. Mech., 57(4), 657-680.
DOI
|