Optimal architecture of a convolutional neural network to estimate structural responses for safety evaluation of the structures

标题
Optimal architecture of a convolutional neural network to estimate structural responses for safety evaluation of the structures
作者
关键词
Structural health monitoring, Dynamic structural response, Measurement, Data prediction, Convolutional neural network, Multi-objective optimization
出版物
MEASUREMENT
Volume 177, Issue -, Pages 109313
出版商
Elsevier BV
发表日期
2021-03-27
DOI
10.1016/j.measurement.2021.109313

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now