A LOCAL-PATCH BASED MULTI-STAGE ARTIFICIAL-NEURAL-NETWORK TRAINING PROCEDURE AND ITS APPLICATION TO MATERIAL CHARACTERIZATION

DOI10.1142/S0219876207001266zbMath1198.74121OpenAlexW2094296396MaRDI QIDQ3056064

No author found.

Publication date: 10 November 2010

Published in: International Journal of Computational Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219876207001266

zbMATH Keywords

artificial neural networkmulti-stagetarget pointinitial traininglocal patchre-training

Mathematics Subject Classification ID

Related Items (1)

Regularization Strategies for Contiguous and Noncontiguous Damage Detection of Structures

Uses Software

• Neural Network Toolbox

Cites Work

• Damage detection on crates of beverages by artificial neural networks trained with finite-element data.
• Detection of cracks using neural networks and computational mechanics
• Computational Inverse Techniques in Nondestructive Evaluation
• Unnamed Item

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