Performance prediction and multi-objective optimization for the Atkinson cycle engine using eXtreme Gradient Boosting-Reference-Cited by-同舟云学术

Performance prediction and multi-objective optimization for the Atkinson cycle engine using eXtreme Gradient Boosting

Published:2024-02 Issue: Volume:48 Page:102402
ISSN:2451-9049
Container-title:Thermal Science and Engineering Progress
language:en
Short-container-title:Thermal Science and Engineering Progress

Author:

Sun Xilei,Fu Jianqin,Zhou Feng,Luo Baojun,Liu Jingping

Publisher

Elsevier BV

Reference44 articles.

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2. Many-objective optimization of BEV design parameters based on gradient boosting decision tree models and the NSGA-III algorithm considering the ambient temperature;Sun;Energy,2024

3. The influence of particle oxidation catalyst (POC) mode on emissions reduction of a turbo-charging non-road diesel under wide operating conditions;Yu;Therm. Sci. Eng. Prog.,2023

4. Performance prediction of the centrifugal air compressor for fuel cells considering degradation characteristics based on the hierarchical evolutionary model;Bao;Therm. Sci. Eng. Prog.,2023

5. How does internet development affect energy-saving and emission reduction? Evidence from China;Wu;Energy Econ.,2021

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1. Advancing Fuel Spray Characterization: A Machine Learning Approach for Directly Injected Gasoline Fuel Sprays;Fuel;2024-09

2. Many-objective optimization for structural parameters of the fuel cell air compressor based on the Stacking model under multiple operating conditions;Applied Thermal Engineering;2024-05