Ba datli, S.M., Özkaya, E., Özyi it, H.A. and Tekin, A. (2009), "Nonlinear vibrations of stepped beam systems using artificial neural networks", Struct. Eng. Mech., 33(1), 11-24.
Behfarnia, K., & Khademi, F. (2017). A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system. Iran University of Science & Technology, 7(1), 71-80.
Cardoso, J.B., Almeida, J.R., Dias, J.M. and Coelho, P.G. (2007), "Structural reliability analysis using Monte Carlo simulation and neural networks", Comp. Struct., 39(1), 503-513.
Cheng, J. (2007), "Hybrid genetic algorithms for structural reliability analysis", Comp. Struct., 85, 1524-1533.
Ditlevsen, O. and Madsen, H.O. (1996), Structral reliability methods, John Wiley & Sons Inc., England.
Faravelli, L. and Yao, T. (1996), "Use of adaptive networks in fuzzy control of civil structures", Microcomp. Civil Eng., 11, 67-76.
Fonseca, E. T. and Vellasco, P. C. G. (2007), "A neuro-fuzzy evaluation of steel beams patch load behavior", Adv. Eng. Soft., 39, 558-572.
Fu, J.Y., Li, Q.S. and Xie, Z.N. (2006), "Prediction of wind loads on a large flat roof using fuzzy neural networks", Eng. Struct., 28, 153-161.
Ghasemi, M.R. and Ghorbani, A. (2007), "Application of wavelet neural networks in optimization of skeletal buildings under frequency constraints", Int. J. Intel. Tech., 2(4), 223-231.
Ghorbani, A. and Ghasemi, M.R. (2009), "Reliability based optimization of truss structures using neuro-fuzzy systems", Proceedings of 8th World Congress on Structural and Multidisciplinary Optimization, Lisbon, Portugal, June.
Godjevac, J. (1993), "State of the art in the neuro fuzzy field", Ecole Polytechnique Fédérale de Lausanne, Département d’Informatique, Laboratoire de Microinformatique, Technical report, 93.25, 1-18.
Haldar, A. and Mahadevan, S. (2000), Probability, reliability and statistical methods in engineering design, John Wiley & Sons, Inc., England.
Jang, J.S.R. (1993), "ANFIS: Adaptive-network-based fuzzy inference systems", IEEE, Trans. Syst. Man Cyber., 23, 665–685.
Khademi, F., Jamal, S. M., Deshpande, N., & Londhe, S. (2016). Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system and multiple linear regression. International Journal of Sustainable Built Environment, 5(2), 355-369.
Khademi, F., Akbari, M., Jamal, S. M., & Nikoo, M. (2017). Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. Frontiers of Structural and Civil Engineering, 11(1), 90-99.
Khademi, F., & Jamal, S. M. (2017). Estimating the compressive strength of concrete using multiple linear regression and adaptive neuro-fuzzy inference system. International Journal of Structural Engineering, 8(1), 20-31.
Kiureghian, A. D., Lin, H. Z., and Hwang, S. J. (1987), "Second-order reliability approximations", J. Eng. Mech., ASCE, 113(8), 1208-1225.
Lemieux, C. (2009), Monte Carlo and Quasi-Monte Carlo Sampling, Springer Science, Waterloo, Canada.
Mahadevan, S. (1996), Monte Carlo Simulation in Reliability-Based Mechanical Design, Marcel Dekker, NY.
Marseguerra, M., Masini, R., Zio, E. and Cojazzi, G. (2003), "Variance decomposition-based sensitivity analysis via neural networks", Reliab. Eng. Syst. Safe., 79, 229-238.
Melchers, R. E. and Ahmed, M. (2004), "A fast approximation method for parameter sensitivity estimation in Monte Carlo structural reliability", Comp. Struct, 82, 55-61.
Momenzadeh, S., Kazemi M.T., Asl M.H., (2017), “Seismic performance of reduced web section moment connections”, Int. J. St. Struct., 17(2), 413-425.
Nowak, A. S. and K. R. Collins (2000), Reliability of Structures, McGraw-Hill, Singapore.
Papadrakakis, M., Papadopoulos, V. and Lagaro, N. (1996), "Structural reliability analysis of elastic-plastic structures using neural networks and Monte Carlo simulation", Comp. Meth. Appl. Mech. Eng., 63, 136-145.
Saltteli, A., Tarantola, S., Compolongo, F. and Ratto, M. (2004), Sensitivity analysis in practice, John Wiley & Sons Inc., England.
Shen J., Seker O., Akbas B., Seker P., Momenzadeh S. and Faytarouni M. (2017), “Seismic performance of concentrically braced frames with and without brace buckling”, Eng. Struct., 141, 461-481.
Song, J. and Kang, W.H. (2009), "System reliability and sensitivity under statistical dependence by matrix-based system reliability method", Struct. Safety, 31, 148-156.
Sugeno, M. (1985), Industrial applications of fuzzy control, Elsevier Science Pub. Co.
Topcu, I. E. and Sardemir, M. (2007), "Prediction of rubberized concrete properties using artificial neural network and fuzzy logic" Constr. Build. Mat., 22, 532-540.
Topcu, I. E. and Sardemir, M. (2008), "Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic", Comp. Mat. Sci., 41, 305-311.
Wang, Y. M. and Elhag, T. (2008), "An adaptive neuro-fuzzy inference system for bridge risk assessment", Expert Syst. Appl., 34, 3099-3106.
Zadeh, L.A. (1965), "Fuzzy sets", Inf. Contr., 8(3), 338-353.