[1] |
Lagaros, N. D.; Fragiadakis, M.; Papadrakakis, M.; Tsompanakis, Y.: Structural optimization: a tool for evaluating dynamic design procedures, Engineering structures 28, 1623-1633 (2006) |

[2] |
Zou, X. K.; Chan, C. M.: An optimal resizing technique for dynamic drift design of concrete buildings subjected to response spectrum and time history loadings, Computers and structures 83, 1689-1704 (2005) |

[3] |
Kocer, F. Y.; Arora, J. S.: Optimal design of H-frame transmission poles for earthquake loading, ASCE journal of structural engineering 125, 1299-1308 (1999) |

[4] |
Kocer, F. Y.; Arora, J. S.: Optimal design of latticed towers subjected to earthquake loading, ASCE journal of structural engineering 128, 197-204 (2002) |

[5] |
F.Y. Cheng, D. Li, J. Ger, Multiobjective optimization of dynamic structures, in: M. Elgaaly (Ed.), ASCE Structures 2000 Conference Proceedings, 2000. |

[6] |
Salajegheh, E.; Heidari, A.; Saryazdi, S.: Optimum design of structures against earthquake by discrete wavelet transform, International journal for numerical methods in engineering 62, 2178-2192 (2005) · Zbl 1118.74340
· doi:10.1002/nme.1279 |

[7] |
Salajegheh, E.; Heidari, A.: Optimum design of structures against earthquake by wavelet neural network and filter banks, Earthquake engineering and structural dynamics 34, 67-82 (2005) |

[8] |
Adeli, H.; Jiang, X.: Dynamic fuzzy wavelet neural network model for structural system identification, ASCE journal of structural engineering 132, 102-111 (2006) |

[9] |
Wang, Q. F.: Numerical approximation of optimal control for distributed diffusion Hopfield neural networks, International journal for numerical methods in engineering 69, 443-468 (2007) · Zbl 1194.92006
· doi:10.1002/nme.1769 |

[10] |
Jang, J. S. R.: ANFIS: adaptive-network-based fuzzy inference systems, IEEE transactions on systems man and cybernetics 23, 665-685 (1993) |

[11] |
Chiu, S. L.: Fuzzy model identification based on cluster estimation, Journal of intelligent and fuzzy systems 2, 267-278 (1994) |

[12] |
Kohonen, T.: Self-organization and associative memory, (1987) · Zbl 0528.68062 |

[13] |
Wasserman, P. D.: Advanced methods in neural computing, (1993) · Zbl 0842.68062 |

[14] |
Gholizadeh, S.; Salajegheh, E.; Torkzadeh, P.: Structural optimization with frequency constraints by genetic algorithm using wavelet radial basis function neural network, Journal of sound and vibration 312, 316-331 (2008) |

[15] |
The Language of Technical Computing. MATLAB, Math Works Inc., 2006. |

[16] |
J. Kennedy, The particle swarm: social adaptation of knowledge, in: Proceedings of the International Conference on Evolutionary Computation. Piscataway, NJ: IEEE (1977), pp. 303 -- 308. |

[17] |
American Institute of Steel Construction. Manual of Steel Construction-allowable Stress Design, 9th ed., Chicago, 1995. |

[18] |
Arora, J. S.: Optimization of structures subjected to dynamic loads, Structural dynamic systems computational techniques and optimization (1999) |

[19] |
Kang, B. S.; Park, G. J.; Arora, J. S.: A review of optimization of structures subjected to transient loads, Structural and multidisciplinary optimization 31, 81-95 (2006) · Zbl 1245.74057 |

[20] |
R.C. Eberhart, J. Kennedy, A new optimizer using particles swarm theory, in: Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 1995, pp. 39 -- 43. |

[21] |
J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: Proceedings of the IEEE International Conference on Neural Networks, Perth, Australia, 1995, pp. 1942 -- 1945. |

[22] |
V. Bergh, A. Engelbrecht, Using neighbourhood with the guaranteed convergence PSO, in: 2003 IEEE Swarm Intelligence Symposium, USA, 2003, pp. 235 -- 242. |

[23] |
Y. Shi, R.C. Eberhart, A modified particle swarm optimizer, in: Proceeding IEEE International Conference on Evolutionary Computation, 1997, pp. 303 -- 308. |

[24] |
Perez, R. E.; Behdinan, K.: Particle swarm approach for structural design optimization, Computers and structures 85, 1579-1588 (2007) |

[25] |
Kathiravan, R.; Ganguli, R.: Strength design of composite beam using gradient and particle swarm optimization, Composite structures 81, 471-479 (2007) |

[26] |
Salajegheh, E.; Gholizadeh, S.; Khatibinia, M.: Optimal design of structures for earthquake loads by a hybrid RBF -- BPSO method, Earthquake engineering and engineering vibration 7, 13-24 (2008) |

[27] |
Rafiq, M. Y.; Bugmann, G.; Easterbrook, D. J.: Neural network design for engineering applications, Computers and structures 79, 1541-1552 (2001) |

[28] |
Zhang, A.; Zhang, L.: RBF neural networks for the prediction of building interference effects, Computers and structures 82, 2333-2339 (2004) |

[29] |
Deng, J.: Structural reliability analysis for implicit performance function using radial basis function network, International journal of solids and structures 43, 3255-3291 (2006) · Zbl 1121.74489
· doi:10.1016/j.ijsolstr.2005.05.055 |

[30] |
Roy, N.; Ganguli, R.: Filter design using radial basis function neural network and genetic algorithm for improved operational health monitoring, Applied soft computing 6, 154-169 (2006) |

[31] |
Topcu, I. B.; Saridemir, M.: Prediction of rubberized concrete properties using artificial neural network and fuzzy logic, Construction and building material 22, 532-540 (2008) |

[32] |
Mamdani, E. H.; Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller, International journal of man -- machine studies 7, 1-13 (1975) · Zbl 0301.68076
· doi:10.1016/S0020-7373(75)80002-2 |

[33] |
Sugeno, M.: Industrial applications of fuzzy control, (1985) · Zbl 0586.93053 |

[34] |
Paiva, R. P.; Dourado, A.: Structure and parameter learning of neuro-fuzzy systems: a methodology and a comparative study, Journal of intelligent and fuzzy systems 11, 147-161 (2001) |

[35] |
Jiang, X.; Mahadevan, S.; Adeli, H.: Bayesian wavelet packet denoising for structural system identification, Structural control and health monitoring 14, 333-356 (2006) |

[36] |
Martinet, R. K.; Morlet, J.; Grossmann, A.: Analysis of sound patterns through wavelet transforms, International journal of pattern recognition and artificial intelligence 1, 273-302 (1987) |