2004
DOI: 10.1016/j.engstruct.2003.12.006
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Application of artificial intelligence for construction of design spectra

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Cited by 11 publications
(3 citation statements)
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“…Neural Network (NN) modeling has been widely used as an alternative approach for establishing nonlinear empirical equations in engineering problems for the last two decades engineering [8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Neural Network (NN) modeling has been widely used as an alternative approach for establishing nonlinear empirical equations in engineering problems for the last two decades engineering [8][9][10][11][12][13][14][15][16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%
“…Neural Network (NN) is a powerful black-box modeling technique which produces output values from a given input set. NNs have been widely used in modeling engineering problems having nonlinear relationships such as concrete strength, cost estimation, structural damage detection, etc., for the last two decades as a result of the developments in computer and software technology (Flood 1989, Cladera and Mari 2004, Saadata et al 2004, Tehranizadeh and Safi 2004, Williams and Hoit 2004 Tavassoli 274 used effectively to provide the required stiffness, strength and ductility ( Figure 1). Since lateral loads cause bending with high shear stresses in coupling beams, the structural behavior of a CSW is greatly affected by the behavior of the coupling beams which depends on its geometrical and mechanical properties (Kinh andTan 1999, Doran 2004).…”
Section: Introductionmentioning
confidence: 99%
“…This dissertation denotes such attempts as an "ML-driven" approach. For instance, due to the constitutive material models cannot capture the complex behavior of materials such as non-linearity, hardening and softening, anisotropy, and strain rate dependence, Hashash et al On the other hand, some apply ML methods to the global structural level (Oh et al (2020); Okazaki et al (2020); Wu and Jahanshahi (2019); Cladera and Mari (2004); Tehranizadeh and Safi (2004)). For example, Abdalla et al (2007) presented an application of an artificial neural network (ANN) for predicting the shear resistance of reinforced rectangular beam using a backpropagation neural network with different activation functions such as sigmoid and tanh functions.…”
Section: Problem Statementmentioning
confidence: 99%