首页> Sensors (Basel, Switzerland)> Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection.

Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection.

导出 OA

翻译打印收藏纠错

第一作者： Xiaofei,Li

第一单位： College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China.

作者： Xiaofei,Li ^[1] ; Hainan,Guo ^[1] ; Langxing,Xu ^[1] ; Zezheng,Xing ^[2]

作者单位： College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China. ^[1] College of Information Science and Engineering, University of Jinan, Jinan 250022, China. ^[2]

关键词 1-D convolutional neural network Bayesian optimization algorithm decision-level fusion structural anomaly detection vibration signals

医学主题词贝叶斯定理(Bayes Theorem);算法(Algorithms);工艺学(Technology)

DOI 10.3390/s23115058

PMID 37299785

发布时间 2023-06-12

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Sensors (Basel, Switzerland)

2023年23卷11期

相似文献

中文期刊
外文期刊
学位论文
会议论文

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

法律状态公告日	法律状态	法律状态信息

检索历史清除

Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection.

Sensors (Basel, Switzerland)

相似文献

同项目论文

Sensors (Basel, Switzerland)

相关期刊

检索历史 清除

Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection.

Sensors (Basel, Switzerland)

相似文献

同项目论文

Sensors (Basel, Switzerland)

相关期刊

检索历史清除