Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

The aim of the present study is to develop a series of artificial neural networks (ANN) and to determine, by comparison to experiments, which type of neural network is able to predict the measured structural deformations most accurately. For this approach, three different ANNs are proposed. Firstly,...

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Vydané v:	Computer methods in applied mechanics and engineering Ročník 364; s. 112989
Hlavní autori:	Stoffel, Marcus, Gulakala, Rutwik, Bamer, Franz, Markert, Bernd
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.06.2020 Elsevier BV
Predmet:	Artificial neural network Artificial neural networks Convolutional networks Modular structures Neural networks Numerical prediction Radial basis function Radial basis functions Shock tube experiments Structural mechanics Topology Radial basis functions 74K20 Structural mechanics 74-05 Artificial neural network Shock tube experiments Convolutional networks
ISSN:	0045-7825, 1879-2138
On-line prístup:	Získať plný text
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