| 应用BP网络预测混凝土中的钢筋锈蚀量 |
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| 引用本文： | 张耀庭,胡兴源,罗菡.应用BP网络预测混凝土中的钢筋锈蚀量[J].华中科技大学学报(自然科学版),2000,28(12):93-95. |
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| 作者姓名： | 张耀庭 胡兴源 罗菡 |
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| 作者单位： | 张耀庭（华中理工大学土木工程学院）;胡兴源（华中理工大学土木工程学院）;罗菡（华中理工大学土木工程学院） |
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| 摘 要： | 通过建立BP网络模型对钢筋的锈蚀量进行计算和预测，并与目前常用的鉴别和检测方法相比较，结果表明建立BP网络是一种可以定量分析、简便易行的预测方法．
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| 关 键 词： | 混凝土 钢筋锈蚀 BP网络 预测 |
| 文章编号： | 1000-8616(2000)12-0093-03 |
| 修稿时间： | 2000年8月7日 |
Calculation of Corrosive Degree of Reinforcement in Concrete by Neural Network |
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| Zhang Yaoting Assoc. Prof., College of Civil Eng.,HUST,Wuhan ,China. Hu Xingyuan Luo Han.Calculation of Corrosive Degree of Reinforcement in Concrete by Neural Network[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2000,28(12):93-95. |
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| Authors: | Zhang Yaoting Assoc Prof College of Civil Eng HUST Wuhan China Hu Xingyuan Luo Han |
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| Institution: | Zhang Yaoting Assoc. Prof., College of Civil Eng.,HUST,Wuhan 430074,China. Hu Xingyuan Luo Han |
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| Abstract: | The corrosive degree can be evaluated and forecasted by the model of BP neural network, and the results are compared with the methods usually used in our country. The conclusion is made that setting BP neural network is a convenient forecasting method which can be used to analyze in number. |
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| Keywords: | concrete reinforcing bar corrosion BP neural network predictil |
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