Field Strength Prediction in High-Speed Train Carriages Using a Multi-Neural Network Ensemble Model with Optimized Output Weights.
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| Title: | Field Strength Prediction in High-Speed Train Carriages Using a Multi-Neural Network Ensemble Model with Optimized Output Weights. |
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| Authors: | Fang, Zhou1, Zhao, Hengkai1,2, fengyichen98@shu.edu.cn, Feng, Yichen1, Wu, Yating1,2, gxzheng@staff.shu.edu.cn, Sun, Yanqiong2, Yang, Qi1, Zheng, Guoxin1 |
| Source: | Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2709, 25p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 183645372 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15052709 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 2709 Titles: – TitleFull: Field Strength Prediction in High-Speed Train Carriages Using a Multi-Neural Network Ensemble Model with Optimized Output Weights. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fang, Zhou – PersonEntity: Name: NameFull: Zhao, Hengkai – PersonEntity: Name: NameFull: Feng, Yichen – PersonEntity: Name: NameFull: Wu, Yating – PersonEntity: Name: NameFull: Sun, Yanqiong – PersonEntity: Name: NameFull: Yang, Qi – PersonEntity: Name: NameFull: Zheng, Guoxin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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