Guo, Yanan
Cao, Xiaoqun
Peng, Kecheng
Funding for this research was provided by:
National Natural Science Foundation of China (42005003)
Article Title: Solving nonlinear soliton equations using improved physics-informed neural networks with adaptive mechanisms
Journal Title: Communications in Theoretical Physics
Article Type: paper
Copyright Information: © 2023 Institute of Theoretical Physics CAS, Chinese Physical Society and IOP Publishing. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2022-11-13
Date Accepted: 2023-04-10
Online publication date: 2023-09-01