| 应用人工神经网络专家系统进行拉深件成形缺陷分析 |
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| 引用本文： | 汪锐,郑晓丹,何丹农.应用人工神经网络专家系统进行拉深件成形缺陷分析[J].装备环境工程,2000(5):25-28. |
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| 作者姓名： | 汪锐 郑晓丹 何丹农 |
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| 作者单位： | 汪锐（上海交通大学塑性成形工程系，上海200030）;郑晓丹（上海交通大学塑性成形工程系，上海200030）;何丹农（上海交通大学塑性成形工程系，上海200030） |
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| 摘 要： | 人工神经网络专家系统是一种新型的专家系统。阐述了人工神经网络专家系统在冲压件成形缺陷分析中的应用，着重指出了人工神经网络专家系统与传统专家系统的不同之处以及在建立冲压件缺陷分析人工神经网络专家系统时所要注意的关键技术。
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| 关 键 词： | 人工神经网络 专家系统 人工智能 拉深 |
| 文章编号： | 1000-8446(2000)05-0025-04 |
| 修稿时间： | 2000年3月10日 |
The Application of Artificial Neural Network Based Expert System to The Analysis of Deep-drawing Parts' Defects |
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| WANG Rui,ZHENG Xiao-dan,HE Dan-nong.The Application of Artificial Neural Network Based Expert System to The Analysis of Deep-drawing Parts'''' Defects[J].Equipment Environmental Engineering,2000(5):25-28. |
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| Authors: | WANG Rui ZHENG Xiao-dan HE Dan-nong |
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| Abstract: | Artificial neural network based expert system is a new type of expert system. This paper describes its application of the analysis of the deep-drawing parts' defects. At the same time.it emphasizes the differences between the artificial neural network based expert system and traditional expert systems and the critical technology that we must pay attention to when we want to establish a deed-drawing part defect analysis artificial nerual network based expert system. |
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| Keywords: | Artificial neural netork (ANN ) Expert system (ES ) AI deep-drawing |
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