基于机器学习的汽车系统质量要素方法  

Quality Element Method of Automotive System Based on Machine Learning

作　　者：石琪 

机构地区：[1]柳州职业技术大学,广西柳州545000

出　　处：《商用汽车》2024年第3期77-79,共3页Commercial Vehicle

摘　　要：随着科技研发手段的持续创新,汽车系统正逐步融入多样化的智能元素,其中机器学习技术的应用尤为显著。为了提升公司汽车系统的工作效率与产品质量,充分发挥人工智能在工业生产中的优势,本文探讨了将机器学习技术应用于汽车系统质量要素管理的方法。通过对相关数据的综合研究与分析,该方法旨在实现对汽车系统使用过程的精细化管理,同时对质量进行精准控制和预测,从而有效提升汽车系统的性能和可靠性,更好地满足不同用户的需求。With the continuous innovation of scientific and technological research and development means,automotive systems have gradually integrated a variety of intelligent elements,of which the application of machine learning technology is the most obvious.In order to improve the work efficiency and product quality of the company's automotive system,give full play to the advantages of artificial intelligence in industrial generation,apply machine learning to the quality element method of the automotive system,and conduct comprehensive research and analysis of relevant data,so as to realize the fine management of the use process of the automotive system,and at the same time,carry out accurate control and prediction of the quality.The performance and reliability of the vehicle system are effectively improved,so as to better meet the needs of different users.

关 键 词：机器学习 汽车系统 质量要素 

分 类 号：U461[机械工程—车辆工程]