Selection of the Informative Input Parameters for the Inverse Neural-Network Models of Observed Systems
- 作者: Obodan N.1, Guk N.1, Magas A.1
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隶属关系:
- Honchar Dnipropetrovs’k National University
- 期: 卷 231, 编号 5 (2018)
- 页面: 678-689
- 栏目: Article
- URL: https://journals.rcsi.science/1072-3374/article/view/241215
- DOI: https://doi.org/10.1007/s10958-018-3844-7
- ID: 241215
如何引用文章
详细
We consider the problem of determination of the parameters of a measurement grid, which guarantees the exactness and stability of the solution of the inverse problem. The choice of the points of measurements is performed under the assumption of existence of the most informative data. We present the results illustrating the influence of the number of measurement points on the data of reconstruction of the parameters of the load function acting upon the cylindrical shell in a strip located along the length of the shell.
作者简介
N. Obodan
Honchar Dnipropetrovs’k National University
Email: Jade.Santos@springer.com
乌克兰, Dnipropetrovs’k
N. Guk
Honchar Dnipropetrovs’k National University
Email: Jade.Santos@springer.com
乌克兰, Dnipropetrovs’k
A. Magas
Honchar Dnipropetrovs’k National University
Email: Jade.Santos@springer.com
乌克兰, Dnipropetrovs’k