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Assessment of form feature similarity using multivariate analysis

机译:使用多变量分析评估形式特征相似性

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Past form feature and manufacturing data are often referred to as new products are designed (CAD, Computer Aided Design) and manufactured (CAM, Computer Aided Manufacturing). Both data are often combined. And, the effects of design and manufacturing depend on the propriety of the selected data. In this case, the saved form feature data closest to the required specifications of the designers must be selected from a form feature database. So ar, the data has have been selected by experts based on experience. In this sutyd, form feature similarity is assessed theoretically using quantification theory type III, a theory of multivariate analysis, and a form near the shape imaged by the designer is retrieved from database. Therefore, the designer can make an imaged shape to correct the retrieved shape data and improve the efficiency of the design.
机译:过去的形式功能和制造数据通常被称为新产品设计(CAD,计算机辅助设计)和制造(CAM,计算机辅助制造)。两个数据通常都是组合的。并且,设计和制造的影响取决于所选数据的适当关系。在这种情况下,必须从表单要素数据库中选择最接近设计人员所需规格的保存表单功能数据。所以AR,数据已根据经验选择专家。在该Sutyd中,从理论上使用量化理论III,多变量分析理论和由设计者成像附近的形式来评估形式特征相似性。因此,设计者可以制作成像形状以校正检索的形状数据并提高设计的效率。

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