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Comparison and evaluation of advanced machine learning methods for performance and emissions prediction of a gasoline Wankel rotary engine

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Indexed by : Journal paper

Authors :SC

Date of Publication : 2022-06-01

Affiliation of Author(s) : 313

Funded by : 国家自然科学基金项目

ISSN : 03605442

Translation or Not : no

Pre One : Implementation of various bowl designs in an HPDI natural gas engine focused on performance and pollutant emissions

Next One : Modeling and parametric study of the performance-emissions trade-off of a hydrogen Wankel rotary engine

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Lecturer (University)

Alma Mater : 北京理工大学

Education Level : 博士研究生毕业

School/Department : 车辆与能源学院

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