基于随机森林算法的通信模组生产测试风险预测分析  

Analysis of Risk Prediction of Communication Module Production Test Based on Stochastic Forest Algorithm

作　　者：傅强 丁源 樊超 FU Qiang;DING Yuan;FAN Chao(China Mobile Internet of Things Co.,Ltd.,Chongqing 401336,China.)

机构地区：[1]中移物联网有限公司,重庆401336

出　　处：《电子技术（上海）》2023年第1期182-183,共2页Electronic Technology

摘　　要：阐述通信模组校准综测的问题分类和随机森林算法实现生产过程模组指标的风险预测的方法,通过分类预测,识别潜在风险,实现提高通信模组生产一致性的目的。This paper describes the problem classification of communication module calibration and comprehensive measurement and the method of realizing the risk prediction of production process module indicators by random forest algorithm. Through classification prediction, identify potential risks and achieve the purpose of improving the consistency of communication module production.

关 键 词：通信模组 随机森林算法 风险预测 

分 类 号：TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程] TP311.13[自动化与计算机技术—计算机应用技术]