| 免振捣粉煤灰混凝土抗压强度的神经网络预测 |
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| 引用本文： | 王锦力,殷志祥,周明伟.免振捣粉煤灰混凝土抗压强度的神经网络预测[J].辽宁工程技术大学学报(自然科学版),2006,25(Z1):131-132. |
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| 作者姓名： | 王锦力 殷志祥 周明伟 |
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| 作者单位： | 辽宁工程技术大学,土木建筑工程学院,辽宁,阜新,123000 |
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| 摘 要： | 为了解决免振捣粉煤灰混凝土抗压强度预测问题,采用BP神经网络方法通过免振捣粉煤灰混凝土不同配合比训练网络预测其抗压强度,对于BP网络的隐层节点属于不确定层,采用三层结构的BP网络.但隐含单员个数仍未知。在实验过程中将隐含层的神经单元个数作为一个参数试验,结果表明BP神经网络的隐层节点数目对预测精度有较大影响。通过分析得出采用BP神经网络对免振捣粉煤灰混凝土抗压强度预测是可行的。
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| 关 键 词： | 粉煤灰 免振捣 人工神经网络 |
| 文章编号： | 1008-0562(2006)增刊1-0131-02 |
| 修稿时间： | 2006年3月21日 |
Neural network prediction o compressive strength for self-compaction concrete of coal ash |
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| WANG Jin-li,YIN Zhi-Xiang,ZHOU Ming-wei.Neural network prediction o compressive strength for self-compaction concrete of coal ash[J].Journal of Liaoning Technical University (Natural Science Edition),2006,25(Z1):131-132. |
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| Authors: | WANG Jin-li YIN Zhi-Xiang ZHOU Ming-wei |
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| Abstract: | The different concrete mixture of the self-compaction concrete concluded fly ash has great effect on the compression strength.In order to predict the compressive strength of the self-compaction concrete of coal ash,BP Neural Network is adopted to train the system.It shows the hiding neural node is close to precision and it is possible for prediction of the self-compaction concrete with BP network. |
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| Keywords: | coal ash self-compaction neural network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
