华南地震Issue(z1)：90-94,5.DOI:10.13512/j.hndz.2014.Supp.(I).019
灰关联分析与BP人工神经网络在土石坝震害群体预测中的运用
Forecasting Seismic Damage to Buildings based on Grey Relation and Artificial Neural Network Model
陆耀波 1欧阳志勇1
作者信息
- 1. 广州大学工程抗震研究中心，广东 广州 510006
- 折叠
摘要
Abstract
The paper analyzes the influence factors that affect the earthquake-resistance performance of the earth dam and selects the damage factor with the large degree of association by grey relational analysis. And the actual damage samples are trained by BP artificial neural network model. The research shows that effect to the earthquake-resistance performance of these factors can be obtained by grey relational analysis and it can benefit the actual engineering design of earthquake-resistance of earth dam.It also can be found the prediction results are similar to the actual seismic damage of earth dam by the grey relational analysis and BP neural network mode.关键词
灰关联分析/BP人工神经网络/土石坝/震害预测Key words
Grey relational analysis/BP artificial neural network/Earth dam/Seismic damage prediction分类
天文与地球科学引用本文复制引用
陆耀波,欧阳志勇..灰关联分析与BP人工神经网络在土石坝震害群体预测中的运用[J].华南地震,2014,(z1):90-94,5.
