KMS Of Academy of mathematics and systems sciences, CAS
VPNets: Volume-preserving neural networks for learning source-free dynamics | |
Zhu, Aiqing1,2; Zhu, Beibei3; Zhang, Jiawei1,2; Tang, Yifa1,2; Liu, Jian4,5 | |
2022-12-15 | |
发表期刊 | JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS |
ISSN | 0377-0427 |
卷号 | 416页码:12 |
摘要 | We propose volume-preserving networks (VPNets) for learning unknown source-free dynamical systems using trajectory data. We propose three modules and combine them to obtain two network architectures, coined R-VPNet and LA-VPNet. The distinct feature of the proposed models is that they are intrinsic volume-preserving. In addition, the corresponding approximation theorems are proved, which theoretically guarantee the expressivity of the proposed VPNets to learn source-free dynamics. The effectiveness, generalization ability and structure-preserving property of the VP-Nets are demonstrated by numerical experiments. (C) 2022 Elsevier B.V. All rights reserved. |
关键词 | Deep learning Neural networks Discovery of dynamics Source-free dynamics Volume-preserving |
DOI | 10.1016/j.cam.2022.114523 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Major Project on New Generation of Artificial Intelligence from MOST of China[2018AAA0101002] ; National Natural Science Foundation of China[11775222] ; National Natural Science Foundation of China[11901564] ; National Natural Science Foundation of China[12171466] ; Geo-Algorithmic Plasma Simulator (GAPS) Project |
WOS研究方向 | Mathematics |
WOS类目 | Mathematics, Applied |
WOS记录号 | WOS:000888195600001 |
出版者 | ELSEVIER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/60563 |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Liu, Jian |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 3.Univ Sci & Technol Beijing, Sch Math & Phys, Beijing 100083, Peoples R China 4.Univ Sci & Technol China, Sch Nucl Sci & Technol, Hefei 230026, Anhui, Peoples R China 5.Qilu Univ Technol, Shandong Comp Sci Ctr, Adv Algorithm Joint Lab, Jinan 250014, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Zhu, Aiqing,Zhu, Beibei,Zhang, Jiawei,et al. VPNets: Volume-preserving neural networks for learning source-free dynamics[J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,2022,416:12. |
APA | Zhu, Aiqing,Zhu, Beibei,Zhang, Jiawei,Tang, Yifa,&Liu, Jian.(2022).VPNets: Volume-preserving neural networks for learning source-free dynamics.JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,416,12. |
MLA | Zhu, Aiqing,et al."VPNets: Volume-preserving neural networks for learning source-free dynamics".JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 416(2022):12. |
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