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| 高强混凝土强度的人工神经网络预测 | |
| 引用本文： | 李荣,孟云芳,韩永波.高强混凝土强度的人工神经网络预测[J].宁夏工程技术,2009,8(3):256-259. |
| 作者姓名： | 李荣 孟云芳 韩永波 |
| 作者单位： | 1. 宁夏建筑材料研究院,宁夏,银川,750001 2. 宁夏大学,土木与水利工程学院,宁夏,银川,750021 3. 西部热电公司,宁夏,石嘴山,753001 |
| 摘 要： | 为了在多因素作用下更为准确地预测高强混凝土的抗压强度,采用了人工神经网络中的BP网络模型及其学习算法,基于MATLAB神经网络工具箱对文献中高强混凝土的实测数据进行分析预测,并与回归分析方法计算的结果进行了对比,结果表明,人工神经网络在高强混凝土抗压强度的预测方面具有较高的精度,且明显优于回归模型.因此,神经网络方法是一种可以定量分析、简便易行、计算精度高、预测能力强的分析方法,用于高强混凝土抗压强度的预测是可行的. |
| 关 键 词： | 高强混凝土 人工神经网络 强度预测 |
Forecast strength of high strength concrete with neural networks |
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| LI Rong,MENG Yunfang,HAN Yongbo.Forecast strength of high strength concrete with neural networks[J].Ningxia Engineering Technology,2009,8(3):256-259. | |
| Authors: | LI Rong MENG Yunfang HAN Yongbo |
| Affiliation: | 1.NingXia Institute of Building Materials, Yinchuan 750001,China;2.Collegy of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021 ,China; 3.Company of Western Part Pyroelectrieity Powder,Shizuishan 753001,China) |
| Abstract: | To make the strength forecast of high strength concrete under influence of several factors exact, the model of BP network and its learning algorithms are recommended. Then the approach based on Matlab-NNT is applied to predict the strength of high strength concrete. Furthermore, we contrast it to the regression. It is found that BP network can predict the strength of high strength concrete more accurately than the approach of regression does. The result suggests that neutral network is a quantitative and convenient analyzing approach with high accuracy. It is feasible in predicting the strength of high strength concrete. |
| Keywords: | high strength concrete artificial neural network strength forecast |
| 本文献已被 维普 万方数据 等数据库收录！ | |
