Application of Deep Convolution Neural Network in Crack Identification
Author:
Affiliation:
1. College of Mechanical Engineering, Guizhou University, Guizhou, China
2. State Key Laboratory of Public Big Data, Guizhou University, Guizhou, China
Funder
Support of Guizhou science and technology cooperation
Talents of Guizhou science and technology cooperation platform
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2014188
Reference37 articles.
1. Arbitrary Crack Depth Profiling Through ACFM Data Using Type-2 Fuzzy Logic and PSO Algorithm
2. Evaluating Deterioration of Tunnels Using Computational Machine Learning Algorithms
3. Classification of fatigue crack damage in polycrystalline alloy structures using convolutional neural networks
4. Applications of structural health monitoring technology in Asia
5. Recollection in adolescents with Autism Spectrum Disorder
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