| 基于改进的BP网的图形符号识别 |
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| 引用本文： | 刘秀伟,胡青泥.基于改进的BP网的图形符号识别[J].电脑开发与应用,2003,16(9):28-29. |
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| 作者姓名： | 刘秀伟 胡青泥 |
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| 作者单位： | 大连理工大学,大连,116023 |
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| 摘 要： | 提出了一种改进的 BP人工神经网络的图形识别算法 ,以达到加快识别过程和收敛速度的目的 ,可有效地处理断线、模糊图线、字线粘连等多种退化图纸的情况 ,既可获得线的逼近 ,又使识别具有自学习与自适应的智能性。
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| 关 键 词： | 图形符号 符号识别 人工神经网络 |
| 修稿时间： | 2003年4月1日 |
Graphic Symbol Recognition based on Modified BP Network |
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| Liu Xiuwei et al.Graphic Symbol Recognition based on Modified BP Network[J].Computer Development & Applications,2003,16(9):28-29. |
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| Authors: | Liu Xiuwei |
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| Affiliation: | Liu Xiuwei et al |
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| Abstract: | This paper proposes an accelerating algorithm for engineering drawing symbol recognition on the basis of BP artificial neutral network,in order to speed recognition process and convergence speed,and effectively process degenerate drawings,such as broken line,dim drawing line,word line and adjoin,etc.which can obtain line approximation and implement intelligence of selflearning and selfadaptability. |
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| Keywords: | drawing symbol symbol recognition artificial neutral network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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