Shield Tunneling Parameter Matching Model and UI Interface
In order to improve the accuracy of shield tunneling parameter matching under the limited data, the matching model based on support vector machine (SVM) and exponential adjustment inertia weight immune particle swarm optimization (EAIW-IPSO) is proposed. The nonlinear relationship model between the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/9562828 |
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| _version_ | 1832567427591831552 |
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| author | Gongyu Hou Zhedong Xu Le Li Xiaoge Quan Yajie Yang |
| author_facet | Gongyu Hou Zhedong Xu Le Li Xiaoge Quan Yajie Yang |
| author_sort | Gongyu Hou |
| collection | DOAJ |
| description | In order to improve the accuracy of shield tunneling parameter matching under the limited data, the matching model based on support vector machine (SVM) and exponential adjustment inertia weight immune particle swarm optimization (EAIW-IPSO) is proposed. The nonlinear relationship model between the tunneling parameters and the ground settlement is constructed by SVM and trained with the actual engineering sample data. Based on the trained model, EAIW-IPSO is used to optimize the tunneling parameters. At the same time, UI interface was developed based on the tunneling parameter matching model. The matching model based on BP neural network and PSO algorithm is compared in simulation experiments and engineering case. It is verified that the matching model based on SVM and EAIW-IPSO still maintains great accuracy and stability as the number of samples continues to decrease. The paper provides a better solution for the matching of tunneling parameters in actual engineering. |
| format | Article |
| id | doaj-art-191bf758531644f1ab08845ab6506e6f |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-191bf758531644f1ab08845ab6506e6f2025-02-03T01:01:30ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/95628289562828Shield Tunneling Parameter Matching Model and UI InterfaceGongyu Hou0Zhedong Xu1Le Li2Xiaoge Quan3Yajie Yang4School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing), Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing), Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing), Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing), Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing), Beijing 100083, ChinaIn order to improve the accuracy of shield tunneling parameter matching under the limited data, the matching model based on support vector machine (SVM) and exponential adjustment inertia weight immune particle swarm optimization (EAIW-IPSO) is proposed. The nonlinear relationship model between the tunneling parameters and the ground settlement is constructed by SVM and trained with the actual engineering sample data. Based on the trained model, EAIW-IPSO is used to optimize the tunneling parameters. At the same time, UI interface was developed based on the tunneling parameter matching model. The matching model based on BP neural network and PSO algorithm is compared in simulation experiments and engineering case. It is verified that the matching model based on SVM and EAIW-IPSO still maintains great accuracy and stability as the number of samples continues to decrease. The paper provides a better solution for the matching of tunneling parameters in actual engineering.http://dx.doi.org/10.1155/2020/9562828 |
| spellingShingle | Gongyu Hou Zhedong Xu Le Li Xiaoge Quan Yajie Yang Shield Tunneling Parameter Matching Model and UI Interface Advances in Civil Engineering |
| title | Shield Tunneling Parameter Matching Model and UI Interface |
| title_full | Shield Tunneling Parameter Matching Model and UI Interface |
| title_fullStr | Shield Tunneling Parameter Matching Model and UI Interface |
| title_full_unstemmed | Shield Tunneling Parameter Matching Model and UI Interface |
| title_short | Shield Tunneling Parameter Matching Model and UI Interface |
| title_sort | shield tunneling parameter matching model and ui interface |
| url | http://dx.doi.org/10.1155/2020/9562828 |
| work_keys_str_mv | AT gongyuhou shieldtunnelingparametermatchingmodelanduiinterface AT zhedongxu shieldtunnelingparametermatchingmodelanduiinterface AT leli shieldtunnelingparametermatchingmodelanduiinterface AT xiaogequan shieldtunnelingparametermatchingmodelanduiinterface AT yajieyang shieldtunnelingparametermatchingmodelanduiinterface |