Optimization of Copper Electroforming Process Parameters Based on Double Hidden Layer BP Neural Network

In order to optimize the pulse electroforming copper process, a double hidden layer BP (back propagation) neural network was constructed. Through sample training, the mapping relationship between electroforming copper process conditions and target properties was accurately established, and the predi...

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Detalles Bibliográficos
Autores principales: Ji, Feng, Chen, Chao, Zhao, Yongfei, Min, Byungwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540077/
https://www.ncbi.nlm.nih.gov/pubmed/34683208
http://dx.doi.org/10.3390/mi12101157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540077/
https://www.ncbi.nlm.nih.gov/pubmed/34683208
http://dx.doi.org/10.3390/mi12101157

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