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人工神经网络在人工砂粉煤灰混凝土配合比设计中的应用
引用本文:李志成 孙莉 赵银萍. 人工神经网络在人工砂粉煤灰混凝土配合比设计中的应用[J]. 华北水利水电学院学报, 2005, 26(4): 21-23
作者姓名:李志成 孙莉 赵银萍
作者单位:[1]华北水利水电学院土木系,河南郑州450011 [2]河南公安高等专科学校,河南郑州450002 [3]焦作公路管理局,河南焦作454152
基金项目:河南省教育厅自然科学研究计划项目(2004560003).
摘    要:针对在多因素作用下较为准确地进行人工砂粉煤灰混凝土的配合比设计的问题,研究了人工神经网络模型及其学习算法在预测人工砂粉煤灰混凝土强度中的应用,并与线性回归分析结果进行了对比,表明神经网络方法具有较高的预测精度,用于人工砂粉煤灰混凝土的配合比设计是可行的.

关 键 词:人工砂粉煤灰混凝土  神经网络  配合比设计
文章编号:1002-5634(2005)04-0021-03
收稿时间:2005-06-10
修稿时间:2005-08-20

Application of BP Network in Mixture Design of Manufactured Sand Fly Ash Concrete
LI Zhi-cheng, SUN Li, ZHAO Yin-ping. Application of BP Network in Mixture Design of Manufactured Sand Fly Ash Concrete[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2005, 26(4): 21-23
Authors:LI Zhi-cheng   SUN Li   ZHAO Yin-ping
Affiliation:1. North China Institute of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China; 2. Henan High Training School of Public Security, Zhengzhou 450002, China ; 3. Highway Administrative Office of Jiaozuo City, Jiaozuo 454152, China
Abstract:To make the mixture design of manufactured sand fly ash concrete under influence of several factors exact,the application of BP((Error Back propagation)) network model and its learning algorithms are studied to forecast the strength of manufactured sand and fly ash concrete,and the results are contrasted to the linear regression.It has proved that neural network approach has more accuracy and can be used to the mixture design of manufactured sand fly ash concrete.
Keywords:manufactured sand and fly ash concrete  neural network  mixture design
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