| 遗传算法—BP神经网络在混凝土碳化深度预测中的应用 |
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| 引用本文： | 周圣斌,吴学利,马路. 遗传算法—BP神经网络在混凝土碳化深度预测中的应用[J]. 工程质量, 2008, 0(17) |
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| 作者姓名： | 周圣斌 吴学利 马路 |
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| 作者单位： | 中国建筑科学研究院; |
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| 摘 要： | 通过对混凝土碳化深度实测资料的分析,建立了基于遗传算法-BP神经网络原理的混凝土碳化深度预测方法。应用该方法对两个算例的的混凝土碳化深度进行预测,并与实测值和理论值进行对比,证明该方法对在混凝土碳化深度预测的有效性。
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| 关 键 词： | 混凝土 碳化 遗传算法 人工神经网络 |
Application of Genetic Algorithm-BP Neuro Network in the Prediction of Concrete Carbonized Depth |
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| ZHOU Sheng-bin WU Xue-li MA Lu. Application of Genetic Algorithm-BP Neuro Network in the Prediction of Concrete Carbonized Depth[J]. Quality of Civil Engineering and Construction, 2008, 0(17) |
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| Authors: | ZHOU Sheng-bin WU Xue-li MA Lu |
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| Affiliation: | ZHOU Sheng-bin WU Xue-li MA Lu (China academy of building research,Beijing 100013) |
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| Abstract: | Based on the analysis of measured data of concrete carbonized depth, create the predict method of concrete carbonized depth according to the principle of Genetic Algorithm-BP Neuro network. By use of this method,two example of calculation for concrete carbonized depth are given and compare with the theoretic value,it is proved that the prediction method of concrete carbonized depth is effective. |
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| Keywords: | concrete carbonize Genetic Algorithm artificial neuro network |
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