چكيده لاتين :
Evaluating the moment-rotation behavior of bolted connections by finite element method is
very intensive task in terms of computational cost. This study proposes an efficient neural
system to predict the moment-rotation behavior of the connections. ·The neural system is
called self-organizing back propagation (SOBP) networks. The SOBP includes two
processing units: classification and approximation. In the classification unit, all the training
data are divided into some classes by a self-organizing map network. In the approximation
unit, a set of back propagation networks are employed to achieve the approximation task.
The numerical results demonstrate the computational advantages of the SOBP.
