The computer-aided part classification system based on the pattern recognition can speedily classify parts correctly.
基于模式识别的计算机辅助零件分类系统，可以对零件进行迅速、准确地分类。
To define the part cluster reference patterns is the key in part classification system. The problem has been solved successfully by using fuzzy cluster analysis.
确定零件组的参考模式是零件分类系统的关键问题。采用模糊聚类分析法，解决了这一难题。
We have achieved excellent effect in part classification according to the actual conditions of factories, alternately using the method of cluster analysis and pattern recognition technique.
作者交替运用聚类分析与模式识别法，并结合工厂的实际情况，取得了很好的分类效果。
Complexity of part variant design was formulated based on dimension constraint, and the complexity of part variant design was contrasted in the condition of before and after part classification.
提出了基于尺寸约束的零件变型设计复杂特性模型，比较了零件分类前后的变型设计复杂性。
For comparing, some printing output of computer aided part classification based on Successive Branching, Cluster Analysis and SB-CA methods are illustrated in this paper.
为了对比，本文附有顺序分枝法、聚类分析法和分枝-聚类法的计算机辅助零件分类结果。
The first part: Classification to the tragic works in the existing teaching material middle school (People's Education Press).
第一章：对现有中学语文教材（人教版）中的悲剧性作品的分类。
The first part: Classification to the tragic works in the existing teaching material middle school (People's Education Press).
第一章：对现有中学语文教材（人教版）中的悲剧性作品的分类。
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