Artificial neural network-based predictive model for supersonic ejector in refrigeration system
In this paper, a novel predictive model is proposed for the supersonic ejector in the refrigeration system based on the artificial neural network technique. A composite performance prediction framework for the supersonic ejector is developed by employing a back propagation neural network with partic...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
|
| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23006196 |