[1]邱 宇,李文魁,李 冕.基于随机森林的虚拟路谱准确度智能主观评价法[J].南京师范大学学报(工程技术版),2022,22(04):045-54.[doi:10.3969/j.issn.1672-1292.2022.04.006]
　Qiu Yu,Li Wenkui,Li Mian.Intelligent Subjective Evaluation of Virtual Road Load Data Accuracy Based on Random Forest[J].Journal of Nanjing Normal University(Engineering and Technology),2022,22(04):045-54.[doi:10.3969/j.issn.1672-1292.2022.04.006]
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基于随机森林的虚拟路谱准确度智能主观评价法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
22卷
期数:
2022年04期
页码:
045-54
栏目:
计算机科学与技术
出版日期:
2022-12-15

文章信息/Info

Title:
Intelligent Subjective Evaluation of Virtual Road Load Data Accuracy Based on Random Forest
文章编号:
1672-1292(2022)04-0045-10
作者:
邱 宇1; 李文魁1; 李 冕2; 3
(1.上海汽车集团股份有限公司技术中心试验认证部,上海 201804)
(2.上海交通大学密西根学院,上海 200240)
(3.上海交通大学电子信息与电气工程学院,上海 200240)
Author(s):
Qiu Yu1; Li Wenkui1; Li Mian2; 3
(1.Test & Validation Department,SAIC Motor Technical Center,Shanghai 201804,China)
(2.UM-SJTU Joint Institute,Shanghai Jiao Tong University,Shanghai 200240,China)
(3.School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
关键词:
路谱采集; 机器学习; 随机森林; 时域信号; 主观评价
Keywords:
road load data; machine learning; random forest; time series signals; subjective evaluation
分类号:
U467.4+97
DOI:
10.3969/j.issn.1672-1292.2022.04.006
文献标志码:
A
摘要:
针对当前虚拟路谱准确度评价方法中的局限性,利用随机森林建立了一个虚拟路谱的智能主观评分模型,以路谱的客观统计值作为模型输入,以主观评价的分值作为输出. 在建模过程中全面考虑信号的多方面特征,利用特征重要度筛选出最重要的6个客观统计值作为模型输入; 通过模型训练固化多位专家的专业评分经验,避免每次进行主观评分时由人为因素导致的结果波动. 工程应用显示,该模型的精度高、泛化能力强,是对虚拟路谱评价的一个全面、高效、准确的智能工具.
Abstract:
Considering the limitations of current methods for virtual road load data evaluation,an intelligent subjective evaluation model of virtual road load data signals based on random forest is proposed. The objective statistical parameters of time history signals are taken as the inputs and the scores of subjective evaluations from experts as the output. The most important six objective statistical parameters are selected through feature importance ranking,which takes various features of the time history signals into a comprehensive consideration. The professional evaluation experiences from many experts are solidified into the model by training,and the fluctuations caused by human factors is avoided. The intelligent subjective evaluation model has high accuracy and good generalization,and it is proven a comprehensive,efficient and accurate intelligent tool for virtual time history signal evaluation for real-world applications.

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备注/Memo

备注/Memo:
收稿日期:2021-06-22.
通讯作者:邱宇,高级工程师,研究方向:汽车整车数据采集试验、大数据分析及机器学习. E-mail:qiuyu_1123@163.com
更新日期/Last Update: 2022-12-15