Artificial neural network modeling for predicting thermal conductivity of EG/water-based CNC nanofluid for engine cooling using different activation functions
A vehicle engine cooling system is of utmost importance to ensure that the engine operates in a safe temperature range. In most radiators that are used to cool an engine, water serves as a cooling fluid. Performance of a radiator in terms of heat transmission is significantly influenced by the incor...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2024
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40574/1/Artificial%20neural%20network%20modeling%20for%20predicting%20thermal%20conductivity.pdf http://umpir.ump.edu.my/id/eprint/40574/ https://doi.org/10.32604/fhmt.2024.047428 https://doi.org/10.32604/fhmt.2024.047428 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|