Comparison of initial learning algorithms for long short-term memory method on real-time respiratory signal prediction

Comparison of initial learning algorithms for long short-term memory method on real-time respiratory signal prediction

AimThis study aimed to examine the effect of the weight initializers on the respiratory signal prediction performance using the long short-term memory (LSTM) model.MethodsRespiratory signals collected with the CyberKnife Synchrony device during 304 breathing motion traces were used in this study. Th...

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Bibliographic Details
Main Authors: Wenzheng Sun, Jun Dang, Lei Zhang, Qichun Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Oncology
Subjects:
respiratory signals prediction
initializer
long short-term memory
radiation therapy
He initializer
Glorot initializer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1101225/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1101225/full

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