Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Neural Networks for the Approximate Analysis and Design of Double Layer Grids
In this paper, efficient neural networks are trained for the approximate analysis and design of double layer grids using the backpropagation algorithm. Special methods are developed for data classification and data ordering to reduce the non-linearity of the data and to increase the accuracy, speed, and stability of the training.
Neural Networks for the Approximate Analysis and Design of Double Layer Grids
In this paper, efficient neural networks are trained for the approximate analysis and design of double layer grids using the backpropagation algorithm. Special methods are developed for data classification and data ordering to reduce the non-linearity of the data and to increase the accuracy, speed, and stability of the training.
Neural Networks for the Approximate Analysis and Design of Double Layer Grids
Kaveh, A. (Autor:in) / Servati, H. (Autor:in)
International Journal of Space Structures ; 17 ; 77-89
01.03.2002
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Neural Networks for the Approximate Analysis and Design of Double Layer Grids
| Online Contents | 2002
ANALYSIS AND DESIGN OF DOUBLE LAYER GRIDS USING NEURAL NETWORKS
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Analysis, design and construction of double-layer grids
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Composite double-layer bridge-grids
| British Library Conference Proceedings | 1993