Machine learning methods for predicting the outcome of hypervelocity impact events-Reference-Cited by-同舟云学术

Machine learning methods for predicting the outcome of hypervelocity impact events

Published:2016-03 Issue: Volume:45 Page:23-39
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ryan Shannon^ORCID,Thaler Stephen,Kandanaarachchi Sevvandi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference38 articles.

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2. Ballistic Research Laboratories. (1961). The Resistance of Various Metallic Materials to Perforation by Steel Fragments, Empirical Relationships for Fragment Residual Velocity and Residual Weight (Project THOR Technical Report No. 47). Aberdeen Proving Ground.

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4. Secondary impact hazard assessment;Christiansen,1986

5. Evaluation of space station meteoroid/debris shielding materials;Christiansen,1987

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