Modeling and prediction of the specific heat capacity of Al₂O₃/water nanofluids using hybrid genetic algorithm/support vector regression model
In this study, the specific heat capacity of Alumina (Al₂O₃)/water nanofluid has been accurately evaluated using genetic algorithm/support vector regression (GA/SVR) model at volume fractions of 3.7–9.3%. The proposed (genetic algorithm/support vector regression) GA/SVR model was formulated using vo...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2019
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/81378/1/Modeling%20and%20prediction%20of%20the%20specific%20heat%20capacity%20of%20Al%E2%82%82O%E2%82%83water%20nanofluids%20using%20hybrid%20genetic%20algorithmsupport%20vector%20regression%20model.pdf http://psasir.upm.edu.my/id/eprint/81378/ https://www.sciencedirect.com/science/article/pii/S2352507X17301506 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Putra Malaysia |
| Language: | English |
Internet
http://psasir.upm.edu.my/id/eprint/81378/1/Modeling%20and%20prediction%20of%20the%20specific%20heat%20capacity%20of%20Al%E2%82%82O%E2%82%83water%20nanofluids%20using%20hybrid%20genetic%20algorithmsupport%20vector%20regression%20model.pdfhttp://psasir.upm.edu.my/id/eprint/81378/
https://www.sciencedirect.com/science/article/pii/S2352507X17301506