| 基于ART2模型的造船系统中间产品成组分类研究 |
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| 引用本文： | 钟宇光,邱长华,薛开.基于ART2模型的造船系统中间产品成组分类研究[J].中国造船,2006,47(2):108-113. |
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| 作者姓名： | 钟宇光 邱长华 薛开 |
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| 作者单位： | 哈尔滨工程大学机电工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 基于ART-2神经网络分类器算法是在自适应共振理论的基础上改进而来的,该方法能够对造船中间产品的特性分析样本进行分析判断,实现输入数据的自动分类与识别.提出了中间产品成组特性分析的模型,并对神经网络结构和改进的算法作了详细介绍.实验证明分类的效果比较准确,并可对同族产品的相似程度加以控制,使分组更加合理.
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| 关 键 词： | 船舶、舰船工程 ART-2人工神经网络 中间产品 成组技术 |
| 文章编号： | 1000-4882(2006)02-0108-06 |
| 收稿时间： | 08 10 2004 12:00AM |
| 修稿时间： | 02 16 2006 12:00AM |
Research on Classification of Interim Product Families in Shipbuilding Based on ART-2 Network |
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| ZHONG Yu-guang,QIU Chang-hua,XUE Kai.Research on Classification of Interim Product Families in Shipbuilding Based on ART-2 Network[J].Shipbuilding of China,2006,47(2):108-113. |
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| Authors: | ZHONG Yu-guang QIU Chang-hua XUE Kai |
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| Institution: | College of Mechanical-Electronical Engineering, Harbin Engineering University, Harbin 150001 ,China |
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| Abstract: | The classifier of ART-2 artificial neural network is proposed on the basis of the Adaptive Resonance Theory. It can automatically classify and identify the input data by analyzing the characteristics of interim products in shipbuilding. In this paper, the model of characteristic analysis of interim product families is provided, and ART-2 network structure and modified algorithm are in detail introduced respectively. An example based on the algorithm proves that the classified results are correct and the similar degree of the cognate product can be controlled. In this way, the grouping is reasonable. |
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| Keywords: | ship engineering ART-2 artificial neural network interim product group technology |
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