A new mesh smoothing method based on a neural network
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Publication:2115586
DOI10.1007/s00466-021-02097-zOpenAlexW3205805366WikidataQ113326597 ScholiaQ113326597MaRDI QIDQ2115586
Ke-wu Sun, Xuhui Huang, Rong-li Zhao, Yu-fei Guo, Chuanrui Wang, Zhe Ma
Publication date: 17 March 2022
Published in: Computational Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00466-021-02097-z
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Cites Work
- Fast smoothing of mixed volume meshes based on the effective geometric element transformation method
- Adaptive finite element mesh triangulation using self-organizing neural networks
- Mesh smoothing using the Geometric Element Transformation Method
- A constrained optimization approach to finite element mesh smoothing
- Multilayer feedforward networks are universal approximators
- Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering
- Deep learned finite elements
- A Primer on Neural Network Models for Natural Language Processing
- A new scheme for the generation of a graded quadrilateral mesh
- Small polyhedron reconnection for mesh improvement and its implementation based on advancing front technique
- A new mesh generation scheme for arbitrary planar domains
- Laplacian smoothing and Delaunay triangulations
- Optimization of tetrahedral meshes based on element shape measures
- Intelligent control using multiple models and neural networks
- Object Recognition of the Robotic System with Using a Parallel Convolutional Neural Network
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