| 基于BP神经网络预测高强钢筋与高强混凝土的粘结锚固强度 |
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| 引用本文： | 王希伟,杨勇新.基于BP神经网络预测高强钢筋与高强混凝土的粘结锚固强度[J].广东土木与建筑,2010(9):37-39,42. |
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| 作者姓名： | 王希伟 杨勇新 |
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| 作者单位： | 深圳市建筑科学研究院有限公司;中冶集团建筑研究总院; |
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| 摘 要： | 应用Matlab语言及其神经网络工具包,通过BP神经网络对高强钢筋与高强混凝土间的粘结锚固强度进行模拟和预测,结果表明该法能较准确地预测高强混凝土间的粘结锚固强度。
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| 关 键 词： | 神经网络 高强钢筋 高强混凝土 |
Bond-anchorage Strength of High-strength Bars and High-strength Concrete Based on BP Neural Network |
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| Wang Xiwei Yang Yongxin.Bond-anchorage Strength of High-strength Bars and High-strength Concrete Based on BP Neural Network[J].Guangdong Architecture Civil Engineering,2010(9):37-39,42. |
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| Authors: | Wang Xiwei Yang Yongxin |
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| Affiliation: | Wang Xiwei Yang Yongxin(1 ,Shenzhen Institute of Building Research Shenzhen 518049,China; 2,MCC Building Research Institute Beijing 100088,China) |
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| Abstract: | This paper adopts Matlab language and its ANN toolbox,with BP(Back-Propagation Network) neural network,to simulate and forecast the bond and anchorage ability of high-strength bars and high-strength concrete.As a result,the method can exactly forecast the bond and anchorage ability of high-strength bars and high-strength concrete. |
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| Keywords: | neural network high-strength bars high-strength concrete |
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