摘要
为了提高可移动农业机械化术语查询能力,提出基于PDM框架的可移动农业机械化术语查询系统。构建可移动农业机械化术语查询算法,采用向量量化特征编码技术进行可移动农业机械化术语分布式存储结构分析,通过分段自适应回归分析方法进行可移动农业机械化术语的频谱特征分析,结合定量递归分析模型进行可移动农业机械化术语的特征提取,提取反映可移动农业机械化术语类别属性的关联规则特征集,对提取的可移动农业机械化术语特征量采用BP神经网络分类器进行数据分类查询,在PDM框架进行可移动农业机械化术语查询系统的软件开发设计。仿真结果表明,采用该方法进行可移动农业机械化术语查询的查准率较高,稳定可靠性较好。
In order to improve the query ability of movable agricultural mechanization terms,a movable agricultural mechanization term query system based on PDM framework is proposed.The query algorithm of movable agricultural mechanization terms is constructed,the distributed storage structure of movable agricultural mechanization terms is analyzed by vector quantification feature coding technology,the spectrum characteristics of movable agricultural mechanization terms are analyzed by piecewise adaptive regression analysis method,and the features of movable agricultural mechanization terms are extracted by quantitative recurrent analysis model.The feature set of association rules reflecting the category attributes of movable agricultural mechanization terms is extracted,and the data classification and query are carried out by using BP neural network classifiers for the extracted terms of movable agricultural mechanization.The software development and design of the movable agricultural mechanization terminology query system are carried out in the PDM framework.The simulation results show that the precision of this method is high and the stability and reliability of the term query of movable agricultural mechanization are better.
作者
高挺挺
王晓艺
GAO Tingting;WANG Xiaoyi(Yulin University,Yulin Shanxi 719000,China)
出处
《自动化与仪器仪表》
2020年第8期76-79,共4页
Automation & Instrumentation
基金
陕西省教育厅人文社科研究计划项目“榆林特色好产品”汉英动态术语库标准化建设与应用课题阶段性研究性成果(No.14GK48)。
关键词
PDM框架
可移动
农业机械化
术语
查询系统
PDMframework
movable
agricultural mechanization
terminology
query system
