| 面向有序对象的分类与样件设计新方法 |
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| 引用本文： | 李蓓智. 面向有序对象的分类与样件设计新方法[J]. 东华大学学报(自然科学版), 1996, 0(4) |
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| 作者姓名： | 李蓓智 |
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| 作者单位： | 中国纺织大学机械工程系 |
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| 基金项目： | 国家“863”高技术计划支持项目 |
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| 摘 要： | 根据样本分类与样件设计的需要,提出了一种面向有序对象的分类与样件设设计新方法(OCD方法-Ordered-object oriented classification and design for sample workpiece method)。该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点,自动完成样本的分类与样件设计工作。简要叙述了OCD方法的产生背景,详细讨论了该方法的基本原理、工作步骤和主要特点。
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| 关 键 词： | 分类 神经网络 模糊决策 有序对象 |
A NEW METHOD OF ORDERED-OBJECT ORIENTED CLASSIFICATION AND DESIGN FOR SAMPLE WORKPIECE |
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| Li Beizhi. A NEW METHOD OF ORDERED-OBJECT ORIENTED CLASSIFICATION AND DESIGN FOR SAMPLE WORKPIECE[J]. Journal of Donghua University, 1996, 0(4) |
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| Authors: | Li Beizhi |
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| Affiliation: | Department of Mechanical Engineering |
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| Abstract: | To classify and design the sample workpiece for process planning, the author puts forward a new method - an Ordered-Object Oriented classification andsample workpiece design method (OCD method). Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically. The background of the method is reviewed briefly, the basic theory, the process and characters of the method is described in detail. |
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| Keywords: | classification neural networks fuzzy decision ordered-object |
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