Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm
Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
This study concerns with the diagnosis of aerospace structure defects by applying a HPC parallel implementation of a novel learning algorithm, named U-BRAIN. The Soft Computing approach allows advanced multi-parameter data processing in composite materials testing. The HPC parallel implementation overcomes the limits due to the great amount of data...
Alternative Titles
Full title
Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2080590347
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2080590347
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1610.05521
