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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41167089 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fourier feature-enhanced multi-layer residual stacking network: A novel multiscale modeling approach for physics-informed neural networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hou+BY%22">Hou BY</searchLink>; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China. Electronic address: 1826620362@qq.com.<br /><searchLink fieldCode="AU" term="%22Bai+YL%22">Bai YL</searchLink>; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China. Electronic address: baiyulong@nwnu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Jing+XT%22">Jing XT</searchLink>; College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China. Electronic address: 1171856764@qq.com.<br /><searchLink fieldCode="AU" term="%22Huang+CL%22">Huang CL</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228805018%22">Neural networks : the official journal of the International Neural Network Society</searchLink> [Neural Netw] 2026 Mar; Vol. 195, pp. 108247. <i>Date of Electronic Publication: </i>2025 Oct 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Pergamon+Press%22">Pergamon Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8805018 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2782 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208936080%22">08936080 </searchLink><i>NLM ISO Abbreviation: </i>Neural Netw <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41167089 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.neunet.2025.108247 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 108247 Titles: – TitleFull: Fourier feature-enhanced multi-layer residual stacking network: A novel multiscale modeling approach for physics-informed neural networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hou BY – PersonEntity: Name: NameFull: Bai YL – PersonEntity: Name: NameFull: Jing XT – PersonEntity: Name: NameFull: Huang CL IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-2782 Numbering: – Type: volume Value: 195 Titles: – TitleFull: Neural networks : the official journal of the International Neural Network Society Type: main |
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