| 基于灰色BP神经网络的沉降预测模型应用研究 |
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| 引用本文： | 米鸿燕,蒋兴华.基于灰色BP神经网络的沉降预测模型应用研究[J].昆明理工大学学报(理工版),2007,32(2):65-68,72. |
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| 作者姓名： | 米鸿燕 蒋兴华 |
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| 作者单位： | 昆明理工大学,国土资源工程学院,云南,昆明,650093 |
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| 摘 要： | 通过对灰色BP神经网络模型的分析与研究,给出了灰色BP神经网络的建模方法,建立了基于灰色BP神经网络的建筑物沉降预测模型,通过工程实例数据分别对GM(1,1)模型和灰色BP神经网络模型进行验证,得到了灰色BP神经网络的预测效果要比单纯的灰色GM(1,1)预测模型精度要高的结论,本模型为解决建筑物基础沉降预测分析提供了一种新的方法.
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| 关 键 词： | 沉降观测 灰色系统 BP神经网络 建筑物 |
| 文章编号： | 1007-855X（2007）02-0065-04 |
| 修稿时间： | 2007-03-05 |
Applied Predictive Model of Settlement Based on BP Neural Network |
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| MI Hong-yan,JIANG Xing-hua.Applied Predictive Model of Settlement Based on BP Neural Network[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2007,32(2):65-68,72. |
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| Authors: | MI Hong-yan JIANG Xing-hua |
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| Affiliation: | Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China |
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| Abstract: | Through the analysis of the gray BP network model,method of modeling gray BP network is acquired and the predictive model of the building settlement is also established based on gray BP network.GM(1,1) and the gray BP network model are then tested respectively through engineering data.It is concluded that the predictive accuracy of the gray BP neural network model is much higher than the pure GM(1,1)predictive model.This model provides a new and innovative method for the predictive analysis of building settlement. |
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| Keywords: | building settlement gray system BP neural network building |
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