Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks-Reference-Cited by-同舟云学术

Predicting machine's performance record using the stacked long short‐term memory (LSTM) neural networks

Published:2022-02-16 Issue:3 Volume:23 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Ma Min¹,Liu Chenbin²,Wei Ran¹,Liang Bin¹,Dai Jianrong¹

Affiliation:

1. Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

2. Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13558

Reference29 articles.

1. Task Group 142 report: Quality assurance of medical acceleratorsa)

2. Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study

3. Siami‐NaminiS TavakoliN Siami NaminA.A comparison of ARIMA and LSTM in forecasting time series. Paper presented at: 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA); December 17–20 2018; Orlando FL.

4. An ARMA-Based Digital Twin for MEMS Gyroscope Drift Dynamics Modeling and Real-Time Compensation

5. Analysis of multivariate longitudinal data using ARMA Cholesky and hypersphere decompositions

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