Application of BP Neural Network Model in Risk Evaluation of Railway Construction
Chinese railway construction project is an important part of the implementation of the “Belt and Road” strategy, and the risk evaluation of overseas railway construction is the primary link of the project. Firstly, this paper mainly analyzes the Asian and European countries along the railway constru...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/2946158 |
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| _version_ | 1849434577554112512 |
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| author | Yang Changwei Li Zonghao Guo Xueyan Yu Wenying Jin Jing Zhu Liang |
| author_facet | Yang Changwei Li Zonghao Guo Xueyan Yu Wenying Jin Jing Zhu Liang |
| author_sort | Yang Changwei |
| collection | DOAJ |
| description | Chinese railway construction project is an important part of the implementation of the “Belt and Road” strategy, and the risk evaluation of overseas railway construction is the primary link of the project. Firstly, this paper mainly analyzes the Asian and European countries along the railway construction project, establishes a railway construction project risk evaluation system, and synthesizes various risk factors. Secondly, it establishes two independent BP neural network models by using different training algorithms because of the different political, economic, and cultural elements between the two continents. |
| format | Article |
| id | doaj-art-e99c2bfb4f0f4edfa31a9168380dde3f |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e99c2bfb4f0f4edfa31a9168380dde3f2025-08-20T03:26:35ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/29461582946158Application of BP Neural Network Model in Risk Evaluation of Railway ConstructionYang Changwei0Li Zonghao1Guo Xueyan2Yu Wenying3Jin Jing4Zhu Liang5Department of Civil Engineering, Southwest Jiaotong University, 610031 Chengdu, ChinaDepartment of Civil Engineering, Southwest Jiaotong University, 610031 Chengdu, ChinaDepartment of Civil Engineering, Southwest Jiaotong University, 610031 Chengdu, ChinaOklahoma State University, Stillwater, OK, USAChina Academy of Railway Sciences, 100081 Beijing, ChinaChina Railway Corporation, 100844 Beijing, ChinaChinese railway construction project is an important part of the implementation of the “Belt and Road” strategy, and the risk evaluation of overseas railway construction is the primary link of the project. Firstly, this paper mainly analyzes the Asian and European countries along the railway construction project, establishes a railway construction project risk evaluation system, and synthesizes various risk factors. Secondly, it establishes two independent BP neural network models by using different training algorithms because of the different political, economic, and cultural elements between the two continents.http://dx.doi.org/10.1155/2019/2946158 |
| spellingShingle | Yang Changwei Li Zonghao Guo Xueyan Yu Wenying Jin Jing Zhu Liang Application of BP Neural Network Model in Risk Evaluation of Railway Construction Complexity |
| title | Application of BP Neural Network Model in Risk Evaluation of Railway Construction |
| title_full | Application of BP Neural Network Model in Risk Evaluation of Railway Construction |
| title_fullStr | Application of BP Neural Network Model in Risk Evaluation of Railway Construction |
| title_full_unstemmed | Application of BP Neural Network Model in Risk Evaluation of Railway Construction |
| title_short | Application of BP Neural Network Model in Risk Evaluation of Railway Construction |
| title_sort | application of bp neural network model in risk evaluation of railway construction |
| url | http://dx.doi.org/10.1155/2019/2946158 |
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