Published June 2000
| Version v1
Journal article
Prediction of transition boiling heat transfer by artificial neural network
Description
Based on the capability of nonlinear mapping of artificial neural network, a neural network is presented to predict the transition boiling heat transfer in vertical annulus and vertical tube. The predicting results show good accordance with the experimental results
Additional details
Publishing Information
- Journal Title
- Nuclear Power Engineering
- Journal Volume
- 21
- Journal Issue
- 3
- Journal Page Range
- p. 256-258, 269
- ISSN
- 0258-0926
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 32003342
- Subject category
- S42: ENGINEERING; S99: GENERAL AND MISCELLANEOUS;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; FORECASTING; HEAT TRANSFER; NEURAL NETWORKS; PIPES; REACTOR SAFETY; TRANSITION BOILING
- Descriptors DEC
- BOILING; ENERGY TRANSFER; PHASE TRANSFORMATIONS; SAFETY; TUBES