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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Micromachines |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-666X/14/7/1325 |