| 用神经网络预测矿渣与粉煤灰混凝土的强度 |
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| 引用本文： | 赵兴君,张兰芳,岳瑜.用神经网络预测矿渣与粉煤灰混凝土的强度[J].辽宁工程技术大学学报(自然科学版),2003,22(6):797-799. |
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| 作者姓名： | 赵兴君 张兰芳 岳瑜 |
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| 作者单位： | 1. 辽宁工程技术大学,土木建筑工程学院,辽宁,阜新,123000
2. 重庆钢铁集团,建设公司,重庆,400084 |
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| 摘 要： | 利用目前神经网络中使用最多的BP网络的模型来预测矿渣粉煤灰混凝土的3天、28天的抗压强度。结果表明，由于神经网络具有很强的非线性表现能力，计算精度高，预测能力强．将神经网络方法应用于矿渣、粉煤灰混凝土的强度预测中，可为工程人员提供很大的方便，以指导生产，适应时代发展的要求。
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| 关 键 词： | 神经网络 强度预测 矿渣 粉煤灰混凝土 |
| 文章编号： | 1008-0562(2003)06-0797-03 |
| 修稿时间： | 2002年12月5日 |
To forecast strength of slag and fly ash concrete with neural network |
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| ZHAO Xing-jun,ZHANG Lan-fang,YUE-Yu.To forecast strength of slag and fly ash concrete with neural network[J].Journal of Liaoning Technical University (Natural Science Edition),2003,22(6):797-799. |
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| Authors: | ZHAO Xing-jun ZHANG Lan-fang YUE-Yu |
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| Institution: | ZHAO Xing-jun1,ZHANG Lan-fang1,YUE-Yu2 |
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| Abstract: | This paper uses BP neural network which is used extensively at present in neural net model to forecast the strength of concrete which is added to slag and fly ash. Because neural network has very strong non-liner ability, so the result shows that its precision of caculation is high. At the same time, its forecasting ability is high. If we use this method to forecast the strength of concrete which would be added to slag and fly ash, it will offer many conveniences to engineering people who guide production in order to meet the demand of development of the present times. |
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| Keywords: | neural network strength concrete |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
