A research on improving mean value engine model accuracy based on the random forest algorithm

The indicated thermal efficiency is a core parameter that significantly affects the calculation accuracy of the fuel consumption rate in the diesel Mean Value Engine Model (MVEM).

Authors

Publication Details

Journal
Journal of Artificial Intelligence & Robotics
Published
2024-11-22
DOI
https://doi.org/10.52768/3067-7947/1013
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A research on improving mean value engine model accuracy based on the random forest algorithm

Zhihui Li
Journal of Artificial Intelligence & Robotics
Advanced Sensor and Control Systems
article

A research on improving mean value engine model accuracy based on the random forest algorithm

Zhihui Li
article en

Abstract

The indicated thermal efficiency is a core parameter that significantly affects the calculation accuracy of the fuel consumption rate in the diesel Mean Value Engine Model (MVEM).

Journal of Artificial Intelligence & RoboticsVol. 1(2)
Openalex Percentile: Top 61%
Advanced Sensor and Control Systems
DOIOpen Access PDFOpenAlex
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A research on improving mean value engine model accuracy based on the random forest algorithm — Zhihui Li · Journal of Artificial Intelligence & Robotics (2024) | TGRS Research Map | TGRS