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Neural Network Approaches to Aid Simple Truss Design Problems
Abstract:Diverse problems in engineering may be solved accurately with computers. In structural engineering, many solution techniques exist. Over the past few years, neural networks have evolved as a new computing paradigm, and many engineering applications have been studied. This paper describes configuring and training of a neural network for a truss design application and explores the possible roles for neural networks in structural design problems. The specific problem considered is a simple truss design where, given a geometry and a loading, economical cross‐sectional areas of all the members are to be selected. For this problem, a two‐layer neural network is trained using the back‐propagation algorithm with patterns representing optimal designs for diverse loading conditions. The performance of the trained neural network is evaluated with a sample problem.
Neural Network Approaches to Aid Simple Truss Design Problems
Abstract:Diverse problems in engineering may be solved accurately with computers. In structural engineering, many solution techniques exist. Over the past few years, neural networks have evolved as a new computing paradigm, and many engineering applications have been studied. This paper describes configuring and training of a neural network for a truss design application and explores the possible roles for neural networks in structural design problems. The specific problem considered is a simple truss design where, given a geometry and a loading, economical cross‐sectional areas of all the members are to be selected. For this problem, a two‐layer neural network is trained using the back‐propagation algorithm with patterns representing optimal designs for diverse loading conditions. The performance of the trained neural network is evaluated with a sample problem.
Neural Network Approaches to Aid Simple Truss Design Problems
Computer aided Civil Eng
Kang, Hyeong‐Taek (author) / Yoon, C. John (author)
Computer-Aided Civil and Infrastructure Engineering ; 9 ; 211-218
1994-05-01
Article (Journal)
Electronic Resource
English
Neural Network Approaches to Aid Simple Truss Design Problems
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