Funder
National Research Foundation of Korea
KAIST
Ministry of SMEs and Startups
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference51 articles.
1. Altan, M. (2010). Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods. Materials & Design, 31(1), 599–604.
2. Ashhab, M. D. S., Breitsprecher, T., & Wartzack, S. (2014). Neural network based modeling and optimization of deep drawing–extrusion combined process. Journal of Intelligent Manufacturing, 25(1), 77–84.
3. AUTODESK. (2021). Moldflow insight manual. https://help.autodesk.com/view/MFIA/2021/ENU/
4. Blum, M., & Riedmiller, M. A. (2013). Optimization of Gaussian process hyperparameters using Rprop. ESANN.
5. Chen, C. T., & Gu, G. X. (2020). Generative deep neural networks for inverse materials design using backpropagation and active learning. Advanced Science, 7(5), 1902607.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献