| 基于BP神经网络的金属材料字符识别研究 |
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| 引用本文： | 赵巍,邵建龙.基于BP神经网络的金属材料字符识别研究[J].科技广场,2007(9):126-128. |
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| 作者姓名： | 赵巍 邵建龙 |
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| 作者单位： | 昆明理工大学信息与自动化学院,云南,昆明,650051 |
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| 摘 要： | 字符识别是模式识别领域的一项传统课题,其内容是模式识别领域中很多课题的基本内容。人工神经网络的出现为字符识别的研究提供了一种新的手段,BP神经网络(Back Propagation Neural Network)作为人工神经网络的一个分支,现已成为其最广泛的应用。本文以三层BP网络作为模型,并将其应用于对金属角铁上的字符识别。由于角铁字符为数字与英文字母混合,文中在对传统的BP算法进行了改进的基础上,采用了分组神经网络的设计方法,取得了良好的识别效果。
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| 关 键 词： | 人工神经网络 BP网络 字符识别 分类器 |
| 文章编号： | 1670-4792-（2007）9-0061-03 |
the Research of the Character Recognition on the Metal Materials Base on the BP Neural Network |
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| Zhao Wei,Shao Jianlong.the Research of the Character Recognition on the Metal Materials Base on the BP Neural Network[J].Science Mosaic,2007(9):126-128. |
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| Authors: | Zhao Wei Shao Jianlong |
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| Institution: | School of Information and Automation, Kunming University of Science and Technology, Yunnan Kunming 650051 |
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| Abstract: | Character recognition is a classical problem in the field of the mode recognition and it is also the basal content in the other problem. Artificial Neural Network (short for ANN) provides a new means to study the recognition of the character. Back Propagation Network (short for BP network) as a branch of the ANN, have had a very widely application. This paper introduces a 3-layer BP network and applies it to the recognition of the character in the angle iron. Because the characters include the number and the English character, the designing process adopts multi-group neural network system as well as improves the classical BP arithmetic to get well effect. |
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| Keywords: | ANN Back Propagation Network BP Character Recognition Classify System |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
