家电科技2024，Vol.6Issue(6)：72-75,80,5.DOI:10.19784/j.cnki.issn1672-0172.2024.06.012
基于支持向量机的电子产品清单数据智能补全方法
Intelligent completion method for electronic product inventory data based on support vector machine
摘要
Abstract
With the formation of global green trade barriers,China,as the world's largest producer of electronic products,has missing or incomplete data on electronic product lists,which brings challenges to analysis and evaluation.In order to solve this problem,proposes an intelligent completion method for electronic product inventory data based on support vector machine.Based on Word2Vec and support vector machine,the method uses the vectorized result of the inventory data of electronic products as the input of the support vector machine,and uses this method to predict and complete the missing or incomplete inventory data.Experimental results show that the proposed method has achieved remarkable results in improving the integrity of inventory data,and provides a more reliable data basis for the life cycle assessment of electronic products.关键词
电子产品清单数据/支持向量机/词向量/智能补全Key words
Electronic product inventory data/Support vector machine/Word2Vec/Intelligent completion分类
信息技术与安全科学引用本文复制引用
万超,高翼飞,王玲,杜彬,鲍宏..基于支持向量机的电子产品清单数据智能补全方法[J].家电科技,2024,6(6):72-75,80,5.基金项目
国家重点研发计划项目(2022YFC3901704). （2022YFC3901704）
