Projects per year
Great progress has been made on machine learning and its applications are expanding rapidly nowadays. Through the case study of optimizing a magnetron injection gun for gyrotron devices, the functions of machine learning were investigated by using two supervised learning algorithms, regression trees and artificial neural networks. They showed excellent performance in predicting the outputs, exploring the importance of the input parameters and the relationship with the output parameters. Machine learning can be a useful tool in the development of microwave vacuum electron devices.
|Number of pages||6|
|Journal||IEEE Transactions on Electron Devices|
|Publication status||Accepted/In press - 20 Apr 2021|
- machine learning
- microwave vacuum electron device
- magnetron injection gun
- regression tree
- artificial neural networks
- supervised learning
5/03/19 → 4/03/21
Zhang, L., Nix, L. J. R. & Cross, A. W., Nov 2020, In: IEEE Transactions on Electron Devices. 67, 11, p. 5151-5157 7 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile10 Downloads (Pure)