Design of Double Layer Grids Using Backpropagation Neural Networks

In this chapter an efficient neural networks are trained for design of double layer grids. Square diagonal-on-diagonal grids with spans varying between 26.5 and 75 m are considered. Backpropagation algorithm is employed for training efficient neural networks for evaluation of the maximum deflection, weight, and design of double layer grids. A special method is developed for data ordering to reduce the nonlinearity of the data and to increase the speed of training.