| 人工神经网络技术及其在板料成形智能化中的应用 |
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| 引用本文： | 饶进军,包忠诩,黄菊花.人工神经网络技术及其在板料成形智能化中的应用[J].塑性工程学报,2002,9(1):17-21. |
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| 作者姓名： | 饶进军 包忠诩 黄菊花 |
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| 作者单位： | 南昌大学机电工程学院,南昌,330029 |
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| 基金项目： | 教育部《高等学校骨干教师资助计划》项目(Z0 172 5 )，江西省主要学科跨世纪学术和技术带头人培养计划项目 |
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| 摘 要： | 本文在概述人工神经网络特性、BP网络模型及BP算法的基础上 ,对BP算法改进、训练样本及网络结构等相关技术进行了总结。重点综述了人工神经网络技术在板料成形专家系统、成形力预测、参数识别、智能控制、故障诊断、缺陷分析、板料成形性能研究和模具优化设计等板料成形智能化相关技术中的应用 ,探讨了应用中存在的问题 ,并展望其发展趋势
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| 关 键 词： | 人工神经网络 板料成形 反向传播算法 专家系统 故障诊断 优化 |
| 修稿时间： | 2001年4月12日 |
Artificial neural networks technology and its applications for intelligentization of sheet metal forming |
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| RAO Jin\|jun,BAO Zhong\|xu,HUANG Ju\|hua.Artificial neural networks technology and its applications for intelligentization of sheet metal forming[J].Journal of Plasticity Engineering,2002,9(1):17-21. |
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| Authors: | RAO Jin\|jun BAO Zhong\|xu HUANG Ju\|hua |
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| Abstract: | Basing on the outline of the characters of artificial neural networks,BP network model and BP algorithm,this paper sums up the relative technologies such as the modification of BP algorithm,the training set and the structure of networks.The artificial neural networks based technologies related to intelligentization of sheet metal forming are summarized emphatically such as expert systems for sheet metal forming, prediction of forming load,parameters identification,intelligent control,faults diagnosis,defects analysis,investigation of the forming ability of sheet metal and optimal die design.The problems in applications of artificial neural networks are discussed,and its developing trend is prospected. |
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| Keywords: | artificial neural networks sheet metal forming back propagation algorithm expert system fault diagnosis optimization |
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