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Neural networks for computing in the elastoplastic analysis of structures

Avdelas, A.V. / Panagiotopoulos, P.D. / Kortesis, S.

A neural network model is proposed and studied for the treatment of elastoplastic analysis problems. This problems are formulated as Q.P.P.s with inequality subsidiary conditions. In order to treat these conditions the Hopfield model is appropriately generalized and a neural model is proposed covering the case of inequalities. Finally, the parameter identification problem is formualted as a supervised learning problem. Numerical applications close the presentation of the theory and the advantages of the neural networks approach are illustrated.

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Neural networks for computing in the elastoplastic analysis of structures

Avdelas, A.V. / Panagiotopoulos, P.D. / Kortesis, S.

A neural network model is proposed and studied for the treatment of elastoplastic analysis problems. This problems are formulated as Q.P.P.s with inequality subsidiary conditions. In order to treat these conditions the Hopfield model is appropriately generalized and a neural model is proposed covering the case of inequalities. Finally, the parameter identification problem is formualted as a supervised learning problem. Numerical applications close the presentation of the theory and the advantages of the neural networks approach are illustrated.

Neural networks for computing in the elastoplastic analysis of structures

Avdelas, A.V. / Panagiotopoulos, P.D. / Kortesis, S.

A neural network model is proposed and studied for the treatment of elastoplastic analysis problems. This problems are formulated as Q.P.P.s with inequality subsidiary conditions. In order to treat these conditions the Hopfield model is appropriately generalized and a neural model is proposed covering the case of inequalities. Finally, the parameter identification problem is formualted as a supervised learning problem. Numerical applications close the presentation of the theory and the advantages of the neural networks approach are illustrated.

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Title:

Neural networks for computing in the elastoplastic analysis of structures

Additional title:

Neuronale Netzwerke für Berechnungen bei der elastoplastischen Strukturanalyse

Contributors:

Avdelas, A.V. (author) / Panagiotopoulos, P.D. (author) / Kortesis, S. (author)

Published in:

Meccanica ; 30 ; 1-15

Publication date:

1995

Size:

15 Seiten, 5 Bilder, 1 Tabelle, 37 Quellen

ISSN:

DOI:

https://doi.org/10.1007/BF00987122

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

elastoplastische Bruchmechanik , Strukturanalyse , Rechenmodell , neuronales Netz , nichtlineare Optimierung , Lernen , Software , Differenzialgleichung , Vektor , Rahmen , Programmierung

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