A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO(2) Welding

At present, realizing high-quality automatic welding through online monitoring is a research focus in engineering applications. In this paper, a CNN–LSTM algorithm is proposed, which combines the advantages of convolutional neural networks (CNNs) and long short-term memory networks (LSTMs). The CNN–...

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Detalles Bibliográficos
Autores principales: Liu, Tianyuan, Bao, Jinsong, Wang, Junliang, Zhang, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308811/
https://www.ncbi.nlm.nih.gov/pubmed/30544744
http://dx.doi.org/10.3390/s18124369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308811/
https://www.ncbi.nlm.nih.gov/pubmed/30544744
http://dx.doi.org/10.3390/s18124369

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