Design of Double Layer Torsional Reticulated Shell Using Back- Propagation Neural Network
WU Yun -fang, Li Zhong -yi, YU Yang
DOI:10.11835/j.issn.1674-4764.2006.03.018
Received December 15, 2005,Revised December 15, 2005, Accepted , Available online July 01, 2015
Volume ,2006,Pages 67-70
- Abstract
In this paper artificial neural networks are used for design of large span double layer torsional reticulated shell. The torsional reticulated shells with spans varying between 50.0 - 80.0m are considered, Back -propagation algorithm is employed for training efficient neural networks for evaluation of the maximum deflection, weight and design of double layer torsional reticulated shell. A special method is developed for data ordering to reduce the nonlinearity of data and to increase the speed of training. This approach also provides the necessary stability. It shows that it is feasible to design double layer reticulated shell with artificial neural networks.