Manifold Learning Algorithms Applied to Structural Damage ‎Classification

Manifold Learning Algorithms Applied to Structural Damage ‎Classification

A comparative study of four manifold learning algorithms was carried out to perform the dimensionality reduction process within a proposed methodology for damage classification in structural health monitoring (SHM). Isomap, locally linear embedding (LLE), stochastic proximity embedding (SPE), and la...

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Bibliographic Details
Main Authors: Jersson X. Leon-Medina, Maribel Anaya, Diego A. Tibaduiza, Francesc Pozo
Format: Article
Language:English
Published: Shahid Chamran University of Ahvaz 2021-06-01
Series:Journal of Applied and Computational Mechanics
Subjects:
structural health monitoring
manifold learning
feature extraction
machine learning
dimensionality reduction
damage ‎classification‎
Online Access:https://jacm.scu.ac.ir/article_15730_6652e1d6e34f9eb923d9a65a95b831af.pdf

Internet

https://jacm.scu.ac.ir/article_15730_6652e1d6e34f9eb923d9a65a95b831af.pdf

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