BP and RBF Neural Networks for Predicting Displacements and Design of Schwedler Domes
摘要
In this chapter, efficient neural networks are trained for predicting the displacements and design of Schwedler domes using the Radial Basis Functions and Backpropagation neural networks. Programs are developed for accurate distribution of applied forces and wind load to the nodal points of these domes.