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Artificial neural networks for characterizing whipple shield performance

journal contribution

posted on 2022-12-01, 03:37 authored by Shannon RyanShannon Ryan, S Thaler

Artificial neural networks for characterizing whipple shield performance

History

Journal

Procedia Engineering

Volume

58

Pagination

31-38

Location

Baltimore, MD

Publisher DOI

https://doi.org/10.1016/j.proeng.2013.05.006

Link to full text

https://doi.org/10.1016/j.proeng.2013.05.006

ISSN

1877-7058

Language

English

Publication classification

C1.1 Refereed article in a scholarly journal

Editor/Contributor(s)

Sorensen B, Chhabildas L

Publisher

ELSEVIER SCIENCE BV

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Keywords

Science & Technology Technology Engineering, Mechanical Mechanics Engineering Hypervelocity impact ballistic limit artificial neural network

Licence

All Rights Reserved

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