| 混凝土碳化深度的人工神经网络分析与预测 |
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| 引用本文： | 史长城,霍洪媛,赵顺波.混凝土碳化深度的人工神经网络分析与预测[J].河南科学,2007,25(2):292-295. |
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| 作者姓名： | 史长城 霍洪媛 赵顺波 |
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| 作者单位： | 华北水利水电学院土木与交通学院,郑州,450011 |
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| 基金项目： | 河南省杰出青年科学基金 |
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| 摘 要： | 基于水灰比、碳化龄期、相对湿度以及抗压强度对混凝土碳化深度影响的试验研究成果,利用BP网络和RBF网络按内推与外推两种方式,对混凝土碳化深度进行分析与预测.通过两种网络的分析与预测性能比较,建议优先采用RBF网络进行内推预测,对于外推预测则只能采用BP网络.
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| 关 键 词： | 混凝土 碳化深度 BP网络 RBF网络 内推预测 外推预测 |
| 文章编号： | 1004-3918(2007)02-0292-04 |
| 修稿时间： | 2006-12-18 |
Analysis and Forecast for Carbonation Depth of Concrete by Artificial Neural Network |
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| SHI Chang-cheng,HUO Hong-yuan,ZHAO Shun-bo.Analysis and Forecast for Carbonation Depth of Concrete by Artificial Neural Network[J].Henan Science,2007,25(2):292-295. |
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| Authors: | SHI Chang-cheng HUO Hong-yuan ZHAO Shun-bo |
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| Institution: | School of Civil Engineering and Communication, North China University of Water Conservancy and Hydroelectric Power, Zhengzhou 450011, China |
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| Abstract: | Based on the experimental of the carbonation depth of concrete influenced by results the water to cement ratio,the age of carbonation,the relative humidity and the compressive strength of concrete,the analysis and forecast were carried out for the carbonation depth of concrete by BP network and RBF network with the models of inside forecast and outside forecast.After comparing the properties of the analysis and the forecast of the two kinds of networks,it is suggested that the RBF network is preferentially selected for inside forecast,and the BP network is only used for outside forecast. |
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| Keywords: | concrete carbonation depth BP network RBF network inside forecast outside forecast |
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