神经网络在橡胶轻集料混凝土匀质性预测中的应用  

Application of Neural Networks to Uniformity Forecast of Crumb Rubber Lightweight Concrete

作　　者：王旻[1] 朱涵[1] 刘爱军[1] 

机构地区：[1]天津大学建筑工程学院土木工程系,天津300072

出　　处：《粉煤灰综合利用》2007年第3期3-5,共3页Fly Ash Comprehensive Utilization

基　　金：国家自然科学基金(50478087)

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。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.

关 键 词：橡胶颗粒 轻集料 匀质性 BP神经网络 

分 类 号：TU528.01[建筑科学—建筑技术科学]