Using Grid Search Methods and Parallel Computing to Reduce AI Training Time for Reliability Lifetime Prediction of Wafer-Level Packaging

Author:

Chang C. Y.1,Lee C. H.1,Chiang K. N.1

Affiliation:

1. National Tsing Hua University,Advanced Microsystem Packaging and Nano-Mechanics Research Lab,Dept. of Power Mechanical Engineering,Hsinchu,Taiwan, R.O.C,300

Funder

National Science and Technology Council

Publisher

IEEE

Reference11 articles.

1. Parallel SMO algorithm implementation based on OpenMP;chang;2014 IEEE International Conference on System Science and Engineering (ICSSE) ICSSE,0

2. Support vector method for function approximation, regression estimation and signal processing;vapnik;Advances in neural information processing systems,1996

3. Reliability assessment using modified energy based model for WLCSP solder joints

4. An Overview of AI-Assisted Design-on-Simulation Technology for Reliability Life Prediction of Advanced Packaging

5. Predicting Wafer-Level Package Reliability Life Using Mixed Supervised and Unsupervised Machine Learning Algorithms

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