en Optimal design Optimal design پژوهشي Research <font size="2">The main contribution of the present paper is to train efficient neural networks for seismic design of double layer grids subject to multiple-earthquake loading. As the seismic analysis and design of such large scale structures require high computational efforts, employing neural network techniques substantially decreases the computational burden. Square-on-square double layer grids with the variable length of span and height are considered. Back-propagation (BP), radial basis function (RBF) and generalized regression (GR) neural networks are trained for efficiently prediction of the seismic design of the structures. The numerical results demonstrate the superiority of the GR over the BP and RBF neural networks. </font> double layer grids; seismic design; neural network; back propagation; radial basis function; generalized regression 29 45 http://ijoce.iust.ac.ir/browse.php?a_code=A-10-1-52&slc_lang=en&sid=1 S. Gholizadeh 18003194753284600292 18003194753284600292 Yes M.R. Sheidaii 18003194753284600293 18003194753284600293 No S. Farajzadeh 18003194753284600294 18003194753284600294 No