Open Access
ARTICLE
Prediction and Optimization of the Thermal Properties of TiO2/Water Nanofluids in the Framework of a Machine Learning Approach
1 Sate Key Laboratory of Complex Nonferrous Clean Utilization, Kunming University of Science and Technology, Kunming, 650093, China
2 Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, China
3 Jiangxi Guoxing Intelligent Energy Co., Ganzhou, 330300, China
4 Faculty of Media and Information Engineering, Yunnan Open University, Kunming, 650500, China
* Corresponding Author: Shan Qing. Email: