英语语言理解的名词聚类在收割机控制中的应用

Application of Noun Clustering in English Language Understanding in Harvester Control

在机械智能化发展过程中,将语言理解应用到机械控制设计中是比较典型的方法。将机械进行智能化设计可以在行业中占据有利地位,将语言理解应用于机械控制智能化设计是发展趋势。为此,将英语语言理解的名词聚类应用于收割机控制设计中,以研究英语语言理解的名词聚类的过程,通过对以英语语言形式来表示收割机控制需要的行为进行分析,并将分析结果转变为收割机控制系统设计要求。同时,分析英语语言的名词聚类实现方法,建立聚类模型,形成概念从属理论,在词聚类完成后的聚类模型的基础上,建立合适的知识库,并将英语语言理解的名词聚类应用于收割机控制系统中。

In the development of mechanical intelligence,the application of language understanding to mechanical control design is a typical method.Intelligent design of machinery can occupy an advantageous position in the industry,and the intelligent development of machinery has been rapidly promoted.Applying language understanding to mechanical control Intelligent design is a trend.This paper applies the linguistic clustering of English language understanding to the harvester control design to study the process of noun clustering for English language understanding and analyzes the behavior of the harvester control needs expressed in English language form and analyzes the results.Change to design requirements for harvester control systems.Analyze the noun clustering implementation method of English language,establish a clustering model,form a conceptual subordination theory,build a suitable knowledge base based on the clustering model after word clustering is completed,and gather the linguistic understanding of English language Classes apply to harvester control systems.