Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis
In order to improve the computational efficiency during the simulation and optimization process for the composite structure, the approximate analysis method was studied. The approximate analysis model was established for the composite material barrel by using BP neural network model. According to th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20178802008 |
| _version_ | 1818617067561025536 |
|---|---|
| author | Yadong Xu Yao Li Yu Chen |
| author_facet | Yadong Xu Yao Li Yu Chen |
| author_sort | Yadong Xu |
| collection | DOAJ |
| description | In order to improve the computational efficiency during the simulation and optimization process for the composite structure, the approximate analysis method was studied. The approximate analysis model was established for the composite material barrel by using BP neural network model. According to the network initialization and training, the model was used to replace the finite element analysis in the optimization process. The results showed that the BP neural network approximate model was effective and reliable, and the optimization efficiency was improved obviously. |
| first_indexed | 2024-12-16T16:59:48Z |
| format | Article |
| id | doaj.art-b7f6917631fb4c8787115344c34ad117 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T16:59:48Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-b7f6917631fb4c8787115344c34ad1172022-12-21T22:23:46ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-01880200810.1051/matecconf/20178802008matecconf_cbncm2017_02008Optimization of Composite Material Barrel Based on BP Neural Network Approximate AnalysisYadong Xu0Yao Li1Yu Chen2Nanjing University of Science and TechnologyNanjing University of Science and TechnologyNanjing University of Science and TechnologyIn order to improve the computational efficiency during the simulation and optimization process for the composite structure, the approximate analysis method was studied. The approximate analysis model was established for the composite material barrel by using BP neural network model. According to the network initialization and training, the model was used to replace the finite element analysis in the optimization process. The results showed that the BP neural network approximate model was effective and reliable, and the optimization efficiency was improved obviously.http://dx.doi.org/10.1051/matecconf/20178802008 |
| spellingShingle | Yadong Xu Yao Li Yu Chen Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis MATEC Web of Conferences |
| title | Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis |
| title_full | Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis |
| title_fullStr | Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis |
| title_full_unstemmed | Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis |
| title_short | Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis |
| title_sort | optimization of composite material barrel based on bp neural network approximate analysis |
| url | http://dx.doi.org/10.1051/matecconf/20178802008 |
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