Prediction of the moderator temperature field in a heavy water reactor based on a cellular neural network
Reactors with heavy water coolants and moderators have been used extensively in today's power industry. Monitoring of the moderator condition plays an important role in ensuring normal operation of a power plant. A cellular neural network, the architecture of which has been adapted for hardware...
Main Authors: | S.O. Starkov, Y.N. Lavrenkov |
---|---|
Format: | Article |
Language: | English |
Published: |
National Research Nuclear University (MEPhI)
2017-06-01
|
Series: | Nuclear Energy and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2452303817300353 |
Similar Items
-
Comparisons of Reduced Moderation Small Modular Reactors With Heavy Water Coolant
by: Tengfei Zhang, et al.
Published: (2020-03-01) -
Neural network calibration of moderator temperature coefficient measurements in pressurized water nuclear reactors
by: Adams, Joseph T.
Published: (2014) -
Application of spiking neural networks for modelling the process of high-temperature hydrogen production in systems with gas-cooled reactors
by: Sergey O. Starkov, et al.
Published: (2019-06-01) -
The determination of effective delayed neutron and photoneutron kinetics parameters in a highly enriched heavy-water reactor
by: Graham, Walter Waverly
Published: (2007) -
The determination of effective delayed neutron and photoneutron kinetics parameters in a highly enriched heavy-water reactor
by: Graham, Walter Waverly
Published: (2009)