Neural Network Learning in Structural Engineering Applicationsby D. J. Gunaratnam, Univ of Sydney, Sydney, Australia,
J. S. Gero, Univ of Sydney, Sydney, Australia,
Document Type: Proceeding Paper
Part of: Computing in Civil and Building Engineering
Neural networks based on the backpropagation learning algorithm have been used in a number of structural engineering applications. The paper classifies the different types of relationships that arise in these applications and describes different ways of enhancing the performance of these networks. It identifies three levels at which enhancements can be effected. The different techniques that have been successfully implemented at each level are described and techniques that can be combined to further improve performance are identified. These combined techniques are then used to learn design relationships for polar orthotropic circular plates.
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