Performance Assessment of different Machine Learning Algorithm for Life-Time Prediction of Solder Joints based on Synthetic Data-Reference-Cited by-同舟云学术

Performance Assessment of different Machine Learning Algorithm for Life-Time Prediction of Solder Joints based on Synthetic Data

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:2022 23rd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)
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Author:

Muench S.¹,Bhat D.¹,Heindel L.²,Hantschke P.²,Roellig M.¹,Kaestner M.²

Affiliation:

1. Fraunhofer Institute for Ceramic Technologies and Systems IKTS,Dresden,Germany,01109

2. Technische Universität Dresden,Institute of Solid Mechanics,Dresden,Germany,01062

Funder

European Regional Development Fund

Publisher

IEEE

Link

Reference21 articles.

2. Keras;chollet,2015

3. TensorFlow Developers,2021

4. Deep learning;goodfellow,2016

5. Deep learning;lecun;Nature,2015

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1. Application oriented On-The-Edge Capable Prognostic and Health Monitoring Framework for Solder Joints in Electronics;2024 25th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE);2024-04-07