| 人工神经网络在掺活化煤矸石粉混凝土强度预测中的应用 |
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| 引用本文： | 周双喜,赵碧华.人工神经网络在掺活化煤矸石粉混凝土强度预测中的应用[J].混凝土,2007(4):26-28. |
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| 作者姓名： | 周双喜 赵碧华 |
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| 作者单位： | 华东交通大学,土木工程学院,江西,南昌,330013 |
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| 摘 要： | 人工神经网络技术综合考虑了掺活化煤矸石混凝土强度的各种影响因素,可用于预测混凝土强度.选取了掺活化煤矸石粉混凝土配料中7个主要因素作为输入值,混凝土28d强度作为输出值,建立起混凝土强度预测BP网络模型,进而对掺活化煤矸石配合比强度试验数据进行分析预测,效果良好.结果表明该方法用于掺矿物掺合料混凝土强度预测方面是可行的.
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| 关 键 词： | 人工神经网络 活化煤矸石粉 混凝土强度 工神经网络 活化煤矸石 煤矸石粉 煤矸石混凝土 强度预测 应用 powder coal gangue concrete compressive strength prediction artificial neural network 矿物掺合料 方法 结果 效果 分析预测 试验数据 配合比强度 网络模型 |
| 文章编号： | 1002-3550-（2007）04-0026-03 |
| 修稿时间： | 2006-12-27 |
Application of artificial neural network in the prediction of the compressive strength of concrete with activated coal gangue powder |
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| ZHOU Shuang-xi,ZHAO Bi-hua.Application of artificial neural network in the prediction of the compressive strength of concrete with activated coal gangue powder[J].Concrete,2007(4):26-28. |
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| Authors: | ZHOU Shuang-xi ZHAO Bi-hua |
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| Affiliation: | School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China |
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| Abstract: | Artificial neural network predict the compression strength of concrete with activated coal gangue powder,general considering rarious influencing factors.Artificial neural network can deal with non-line problem and predict strength.This prediction model is based on BP artificial network with 7 influencing factors as input parameters and 28 days strength as output one.The analysis and test on data about mixed ration and strength of concrete have been performed,too.The results show it is very useful to predict the strength of concrete with mineral additives in these methods. |
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| Keywords: | artificial neural network activated coal gangue powder concrete strength |
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