Fourier feature-enhanced multi-layer residual stacking network: A novel multiscale modeling approach for physics-informed neural networks.
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| Title: | Fourier feature-enhanced multi-layer residual stacking network: A novel multiscale modeling approach for physics-informed neural networks. |
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| Authors: | Hou BY; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China. Electronic address: 1826620362@qq.com., Bai YL; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China. Electronic address: baiyulong@nwnu.edu.cn., Jing XT; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China. Electronic address: 1171856764@qq.com., Huang CL; Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Key Laboratory of Remote Sensing of Gansu Province, Lanzhou, China. Electronic address: huangcl@lzb.ac.cn. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Mar; Vol. 195, pp. 108247. Date of Electronic Publication: 2025 Oct 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-2782 |
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| DOI: | 10.1016/j.neunet.2025.108247 |
