Development of ANN-Based Warpage Prediction Model for FCCSP via Subdomain Sampling and Taguchi Hyperparameter Optimization

This study aims to establish an accurate prediction model using artificial neural networks (ANNs) to effectively and efficiently predict the process-induced warpage of a flip-chip chip-scale package (FCCSP). To enhance model performance, a novel subdomain-based sampling strategy and Taguchi hyperpar...

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Detalles Bibliográficos
Autores principales: Cheng, Hsien-Chie, Ma, Chia-Lin, Liu, Yang-Lun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383066/
https://www.ncbi.nlm.nih.gov/pubmed/37512636
http://dx.doi.org/10.3390/mi14071325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383066/
https://www.ncbi.nlm.nih.gov/pubmed/37512636
http://dx.doi.org/10.3390/mi14071325

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