| 基于BP神经网络的计量器具信息编码识别 |
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| 引用本文： | 董华,杨世元,苏海涛,窦仁鹏. 基于BP神经网络的计量器具信息编码识别[J]. 制造技术与机床, 2007, 0(6): 113-117 |
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| 作者姓名： | 董华 杨世元 苏海涛 窦仁鹏 |
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| 作者单位： | 1. 合肥工业大学,安徽,合肥,230009
2. 江淮汽车股份有限公司质管部,安徽,合肥,230022 |
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| 摘 要： | 根据国家工作计量器具命名与分类代码规范,结合企业实际,选用5层信息混合字符编码方法,形成丰富的质量信息载体;采用CCD传感器接收图像信息、BP神经网络识别的方法,实现计量器具信息自动与人工双重识别功能;结合具体案例进行训练与测试,获得较好的识别精度。
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| 关 键 词： | 计量器具 信息编码 质量信息 BP神经网络 图像识别 |
| 修稿时间： | 2006-05-31 |
Recognition of Measuring Instrument Information Code Based on BP Neural Network |
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| DONG Hua,YANG Shiyuan,SU Haitao,DOU Renpeng. Recognition of Measuring Instrument Information Code Based on BP Neural Network[J]. Manufacturing Technology & Machine Tool, 2007, 0(6): 113-117 |
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| Authors: | DONG Hua YANG Shiyuan SU Haitao DOU Renpeng |
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| Affiliation: | 1.Hefei University of Technology, Heifei 230009, CHN ; 2.Quality Management Department, Anhui Jianghuai Automobile Co. Ltd. , Heifei 230022, CHN |
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| Abstract: | We reference the standard of Designation for Working Measuring Instrument and its Classification Code and consider the practice in enterprises to present a new method. Every measuring instrument was coded with 5 classes of figure codes, which can load abundant information. The image of the measuring instrument code can be taken by CCD sensors and then recognized by BP neural network. In this way, information code of measuring instruments can be recognized not only artificially but also automatically. With a case of training and testing, recognizing code of measuring instrument by BP neural network give a satisfied result. |
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| Keywords: | Measuring Instrument Information Code Quality Information BP Neural Network Image Recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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