A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations

30 September 2020

Papers citing "A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations"

5 / 5 papers shown

Title
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process Hao Zhou Nan Li AI4CE 37 1 0 01 Dec 2022
Surrogate Modeling of Fluid Dynamics with a Multigrid Inspired Neural Network Architecture Q. Le C. Ooi AI4CE 27 10 0 09 May 2021
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain Zhenguo Nie Tong Lin Haoliang Jiang L. Kara AI4CE 103 168 0 05 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 205 344 0 22 Jan 2020
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method Yu Li Hu Wang Kangjia Mo Tao Zeng 3DV AI4CE 30 7 0 19 Apr 2018