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

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

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Detalles Bibliográficos
Autores principales: Sun, Wenzheng, Dang, Jun, Zhang, Lei, Wei, Qichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999041/
https://www.ncbi.nlm.nih.gov/pubmed/36910606
http://dx.doi.org/10.3389/fonc.2023.1101225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999041/
https://www.ncbi.nlm.nih.gov/pubmed/36910606
http://dx.doi.org/10.3389/fonc.2023.1101225

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