Prediction of two-phase mixture density using artificial neural networks
- 30 November 1997
- journal article
- Published by Elsevier in Annals of Nuclear Energy
- Vol. 24 (17) , 1373-1387
- https://doi.org/10.1016/s0306-4549(97)00006-6
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- A neural network methodology for heat transfer data analysisPublished by Elsevier ,2003
- A pattern recognition-artificial neural networks based model for signal validation in nuclear power plantsAnnals of Nuclear Energy, 1996
- Multiple-Failure Signal Validation in Nuclear Power Plants Using Artificial Neural NetworksNuclear Technology, 1996
- Generalization of knowledge acquired by a reactor core monitoring system based on a neuro-fuzzy algorithmProgress in Nuclear Energy, 1995
- Studies on the detection of incipient coolant boiling in nuclear reactors using artificial neural networksAnnals of Nuclear Energy, 1995
- Abnormal Event Identification in Nuclear Power Plants Using a Neural Network and Knowledge ProcessingNuclear Technology, 1993
- Nuclear Power Plant Status Diagnostics Using an Artificial Neural NetworkNuclear Technology, 1992
- Accelerating the convergence of the back-propagation methodBiological Cybernetics, 1988
- Average Volumetric Concentration in Two-Phase Flow SystemsJournal of Heat Transfer, 1965