Robotics & Machine Learning Daily News2024,Issue(MAY.2) :71-72.

Data on Machine Learning Detailed by Researchers at Kunming University (Multiobj ective Optimization of Diesel Particulate Filter Regeneration Conditions Based O n Machine Learning Combined With Intelligent Algorithms)

Robotics & Machine Learning Daily News2024,Issue(MAY.2) :71-72.

Data on Machine Learning Detailed by Researchers at Kunming University (Multiobj ective Optimization of Diesel Particulate Filter Regeneration Conditions Based O n Machine Learning Combined With Intelligent Algorithms)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting originatingin Kunming, People’s Republi c of China, by NewsRx journalists, research stated, “To reduce dieselemissions and fuel consumption and improve DPF regeneration performance, a multiobjective optimizationmethod for DPF regeneration conditions, combined with nondominated sorting genetic algorithms (NSGAIII)and a back propagation neural network (BPN N) prediction model, is proposed. In NSGA-III, DPFregeneration temperature (T4 and T5), O 2 , NO x , smoke, and brake-specific fuel consumption (BSFC)are opti mized by adjusting the engine injection control parameters.”

Key words

Kunming/People’s Republic of China/Asi a/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Kunming Univers ity

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文