An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
An effective deep feedforward neural networks (DFNN) method for damage identification of truss structures using noisy incomplete modal data
Authors
Keywords
Damage detection, Deep feedforward neural networks (DFNN), Truss structures, Noisy incomplete modal data
Journal
Journal of Building Engineering
Volume 30, Issue -, Pages 101244
Publisher
Elsevier BV
Online
2020-02-07
DOI
10.1016/j.jobe.2020.101244

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.