西北地震学报2011，Vol.33Issue(2)：155-158,4.
基于MATLAB神经网络方法的多层砖房震害预测
Earthquake Damage Prediction of Multistory Masonry Building Based on MATLAB Neural Network Method
摘要
Abstract
Using the MATLAB artificial neural network toolbox to establish BP neural network model based on Bayesian regularization algorithm, a method of earthquake damage prediction for multistory masonry building based on the survey data of earthquake damage from earthquake events is proposed. The input earthquake damage factors include building story number, construction quality and house integrity. The output value is building's destructiveness under seismic action. The result shows that the method can predict earthquake damage of multistory masonry building with good achievement.关键词
MATLAB/人工神经网络/震害预测/贝叶斯正则化算法/多层砖房Key words
MATLAB/ Artificial neural network/ Earthquake damage prediction/ Bayesian regularization algorithm/ Multistory masonry building分类
天文与地球科学引用本文复制引用
姜伟,马令勇,刘功良..基于MATLAB神经网络方法的多层砖房震害预测[J].西北地震学报,2011,33(2):155-158,4.基金项目
黑龙江省教育厅科学技术研究项目(11513015) （11513015）
