A novel neural network-based alloy design strategy: Gated recurrent unit machine learning modeling integrated with orthogonal experiment design and data augmentation-Reference-Cited by-同舟云学术

A novel neural network-based alloy design strategy: Gated recurrent unit machine learning modeling integrated with orthogonal experiment design and data augmentation

Published:2023-01 Issue: Volume:243 Page:118420
ISSN:1359-6454
Container-title:Acta Materialia
language:en
Short-container-title:Acta Materialia

Author:

Yin Jie,Lei Qian^ORCID,Li Xiang^ORCID,Zhang Xiaoyan,Meng Xiangpeng^ORCID,Jiang Yanbin,Tian Liang,Zhou Shuang,Li Zhou

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

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