Presentation Information

[2P20]Development of Machine Learning Methods Predicting Boiling Transition for Future Fuel Assembly Design(2) Evaluation of Effects of Machine Learning Model Structures on Prediction Accuracy

*Daichi Hagari1, Keisuke Tsukada1, Yasushi Yamamoto1, Masato Fukuta1, Masaki Konishi1, Nobuhiko Ikatsu1, Yuichiro Kubo1 (1. TOSHIBA ESS)

Keywords:

Boiling Transition,Fuel Assembly,Critical Power,Machine Learning,Neural Network

Password required to view

If you have already registered, please click the login button below to log in with your Confit account.
Invitees and Proceedings purchasers, please enter your password in the password box below.

Comment

To browse or post comments, you must log in.Log in