| 基于神经网络的混凝土构件质量识别 |
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| 引用本文： | 张艳梅,王锋,仲伟秋.基于神经网络的混凝土构件质量识别[J].鞍山科技大学学报,2002,25(1):29-32. |
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| 作者姓名： | 张艳梅 王锋 仲伟秋 |
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| 作者单位： | 鞍山钢铁公司职工大学 辽宁鞍山114031
(张艳梅)，鞍山钢铁公司建设公司 辽宁鞍山114005
(王锋)，大连理工大学土木系 辽宁大连116023(仲伟秋) |
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| 摘 要： | 将现有动态信号处理、模式识别等诊断技术与神经网络相结合 ,应用于混凝土构件的质量识别中 ,通过对实际构件有关数据的分析处理 ,表明利用BP神经网络进行混凝土构件质量评估实用可行 ,可使计算过程简单化 ,评价标准统一化
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| 关 键 词： | 混凝土构件 神经网络 质量识别 |
| 文章编号： | 1000-1654(2002)01-0029-04 |
| 修稿时间： | 2001年12月5日 |
Qualtiy Examination for Concrete Members Based on Neural Network Technique |
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| ZHANG Yan_mei ,WANG Feng ,ZHONG Wei_qiu.Qualtiy Examination for Concrete Members Based on Neural Network Technique[J].Journal of Anshan University of Science and Technology,2002,25(1):29-32. |
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| Authors: | ZHANG Yan_mei WANG Feng ZHONG Wei_qiu |
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| Institution: | ZHANG Yan_mei 1,WANG Feng 2,ZHONG Wei_qiu 3 |
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| Abstract: | This paper combines dynamic signal processing technique,pattern recognition technique with neural network technique to examine the quality of concrete members.Relevant data analysis on the practical members shows that appliction of BP neural network is practical and feasible in quality examination of concrete members.The method simplifies its calculation process and unifies its evaluation criteria. |
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| Keywords: | neural network concrete members qualtiy examination |
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