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ORDERED-OBJECT-ORIENTED METHOD:A NEW APPROACH OF SAMPLE PART CALCULATION AND DESIGN

机译:定向对象的方法:采样零件计算和设计的新方法

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摘要

This paper proposed a new approach of sample part classification and design, a so called Or-dered-object-oriented method (O-O-O method). Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, O-O-O method can be used to classify and design the sample parts automatically. The basic theory, the main step as well as the characteristics of the method are analysed. The construction of the ordered object in application is also presented in this paper.
机译:本文提出了一种采样零件分类和设计的新方法,即所谓的或派生面向对象的方法(O-O-O方法)。基于神经网络理论,模糊聚类算法和自适应模式识别,O-O-O方法可用于自动对样品部件进行分类和设计。分析了基本理论,分析了主要步骤以及方法的特征。本文还提出了应用中的有序对象的构建。

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