Journal article 240 views
An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network
Zhongbo Sun,
Liming Zhao,
Keping Liu,
Long Jin,
Junzhi Yu,
Chunxu Li 
Neural Computing and Applications, Volume: 34, Issue: 8, Pages: 6053 - 6066
Swansea University Author:
Chunxu Li
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1007/s00521-021-06745-6
Abstract
An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network
| Published in: | Neural Computing and Applications |
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| ISSN: | 0941-0643 1433-3058 |
| Published: |
Springer Science and Business Media LLC
2022
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa65999 |
| Tags: |
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| Keywords: |
Tensegrity; Form-finding; Noise-tolerant zeroing neural network (NTZNN); Modified Broyden-Fletcher-Goldfarb-Shanno (MBFGS) method |
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| College: |
Faculty of Science and Engineering |
| Funders: |
The work is supported in part by the National Natural Science Foundation of China under Grants 61873304, in part by the China Postdoctoral Science Foundation Funded Project under Grant 2018M641784 and 2019T120240, and also in part by the Key Science and Technology Projects of Jilin Province, China, Grant Nos. 20200201291JC. |
| Issue: |
8 |
| Start Page: |
6053 |
| End Page: |
6066 |