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自组织竞争神经网络板材拉深材料参数识别
引用本文:刘占军,王铁丽,吴钢,师建民.自组织竞争神经网络板材拉深材料参数识别[J].锻压技术,2006,31(4):17-19.
作者姓名:刘占军  王铁丽  吴钢  师建民
作者单位:1. 沈阳航空工业学院,航空宇航工程学院,辽宁,沈阳,110034
2. 沈阳天马医药工程安装有限公司,辽宁,沈阳,110034
摘    要:阐述了自组织竞争人工神经网络模型优化算法的特点,建立了自组织竞争人工神经网络识别模型,给出板材拉深材料性能参数输入输出层设计和样本数据的采集与处理的方法。研究了自组织竞争人工神经网络模型仿真实例,得到了较满意的识别结果,开辟了应用自组织竞争人工神经网络模型优化板材材料性能参数识别诊断研究的新领域。

关 键 词:自组织竞争  人工神经网络  板材拉深  性能参数
文章编号:1000-3940(2006)04-0017-03
收稿时间:2005-09-15
修稿时间:2005-09-15

Study on the sheet drawing parameter identification based on self organic rival neural network
LIU Zhan-jun,WANG Tie-li,WU Gang,SHI Jian-min.Study on the sheet drawing parameter identification based on self organic rival neural network[J].Forging & Stamping Technology,2006,31(4):17-19.
Authors:LIU Zhan-jun  WANG Tie-li  WU Gang  SHI Jian-min
Affiliation:1. College of Aerospace Engineering Shenyang Institute of Aeronautical Engineering, Shenyang Liaoning 110034, China; 2. Shenyang Tianma Medicine Engineering Eixed limited company, Shenyang Liaoning 110034, China
Abstract:The point of self organic rival neural network is concluded. An identifying model of sell organic rival neural network is constructed. The input and output design of sheet drawing parameter and the collection and disposal of sample data are given together. Using self organic rival neural network to do the imitate sample of model, which has got the satisfactory results. The new field of the sheet drawing parameter identification of self organic rival neural network is opened up.
Keywords:self organic rival  neural network  sheet drawing  parameter
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