| 自密实混凝土性能预测的神经网络模型 |
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| 引用本文： | 李本强.自密实混凝土性能预测的神经网络模型[J].五邑大学学报(自然科学版),2004,18(2):11-13. |
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| 作者姓名： | 李本强 |
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| 作者单位： | 五邑大学,土木工程系,广东,江门,529020 |
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| 摘 要： | 自密实混凝土具有优异的工作性能，但目前还没有有效的配比数学模型．为此，在自密实混凝土配比试验的基础上，利用神经网络理论，建立了自密实混凝土性能预测的神经网络模型．计算结果表明，用人工神经网络方法预测自密实混凝土的性能是可行的，能满足工程实际的要求．
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| 关 键 词： | 结构工程 实混凝土性能 人工神经网络 预测 |
| 文章编号： | 1006-7302(2004)02-0011-03 |
| 修稿时间： | 2003年11月28 |
A Neural Network Model for Predicting Performance of Self-compacting Concrete |
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| LI Ben-qiang.A Neural Network Model for Predicting Performance of Self-compacting Concrete[J].Journal of Wuyi University(Natural Science Edition),2004,18(2):11-13. |
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| Authors: | LI Ben-qiang |
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| Abstract: | Self-compacting concrete has excellent working performance, but up to now there hasn't been an effective mathematical model of the ratio of mixing such concrete. This paper, based on self-compacting concrete ratio tests and neural network theory, builds a neural network model for predicting the performance of self-compacting concrete. The calculation results show that predicting the performance of self-compacting concrete by an artificial neural network is feasible and can meet the practical needs of engineering. |
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| Keywords: | structural engineering concrete performance artificial neural network prediction |
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