Application of machine learning algorithms for the prediction of flame temperature in small-scale burner fueled with ethanol-diesel fuel blends

IF 1.2 4区工程技术 Q3 THERMODYNAMICS

Journal of Thermal Science and Technology Pub Date : 2022-01-01 DOI:10.1299/jtst.21-00390

Yu Jin, Yong Zhu

引用次数: 0

Abstract

© 2022 The Japan Society of Mechanical Engineers. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs license (https://creativecommons.org/licenses/by-nc-nd/4.0/). Paper No.21-00390 [DOI: 10.1299/jtst.21-00390] Application of machine learning algorithms for the prediction of flame temperature in small-scale burner fueled with ethanol-diesel fuel blends

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机器学习算法在小型乙醇柴油混合燃料燃烧器火焰温度预测中的应用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Thermal Science and Technology 物理-热力学

CiteScore

2.30

自引率

8.30%

发文量

审稿时长

5 months

期刊介绍： JTST covers a variety of fields in thermal engineering including heat and mass transfer, thermodynamics, combustion, bio-heat transfer, micro- and macro-scale transport phenomena and practical thermal problems in industrial applications.