| 神经网络在橡胶轻集料混凝土匀质性预测中的应用 |
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| 引用本文： | 王旻,朱涵,刘爱军.神经网络在橡胶轻集料混凝土匀质性预测中的应用[J].粉煤灰综合利用,2007(3):3-5. |
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| 作者姓名： | 王旻 朱涵 刘爱军 |
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| 作者单位： | 北京国瑞兴业地产有限公司,工程部,100062 |
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| 摘 要： | 基于神经网络原理,建立3层BP网络模型,以预测橡胶轻集料混凝土中的分布状况.根据试验训练样本数据,对该模型进行训练,建立BP网络模型系统.结果表明,基于模型系统的拟合曲线与试验曲线符合较好,为预测橡胶轻集料混凝土匀质性提供了参考.
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| 关 键 词： | 橡胶颗粒 轻集料 匀质性 BP神经网络 |
| 文章编号： | 1005-8249(2007)03-0003-03 |
| 修稿时间： | 2006年10月25 |
Application of Neural Networks to Uniformity Forecast of Crumb Rubber Lightweight Concrete |
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| Wang Min,Zhu Han,Liu Aijun.Application of Neural Networks to Uniformity Forecast of Crumb Rubber Lightweight Concrete[J].Fly Ash Comprehensive Utilization,2007(3):3-5. |
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| Authors: | Wang Min Zhu Han Liu Aijun |
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| Abstract: | Based on neural network,a three layers BP neural network model was given to forecast the uniformity of crumb rubber lightweight concrete(CTLC).The model of BP neural network was built up according to the test date,and this model was trained.The results show that curves obtained by BP neural network model have preferable accuracy.So it could be used to predict the uniformity of crumb rubber lightweight concrete. |
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| Keywords: | rubber crumbs lightweight aggregate uniformity back propagation neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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