用人工神经网络诊断水工建筑结构的地震损坏

英文篇名：Damage diagnosis of hydraulic construction in earthquake by artificial neural network
中文刊名：中国水利
英文刊名：China Water Resources
作者：茹反反
英文作者：Ru Fanfan
中文关键词：人工神经网络 ; 水工建筑 ; 地震 ; 诊断
英文关键词：artificial neural network ; hydraulic construction ; earthquake ; diagnosis
出版日期：2010-04-30
机构：福建水利电力职业技术学院;
年：2010
期：08
出版单位：中国水利

摘要

大地震给人类带来的损失十分巨大,而次生灾害带来的损失有时比地震造成的损失还大。利用人工神经网络对水工建筑结构的地震损坏进行诊断,对防止地震次生灾害有一定的帮助。具体做法是先建立人工神经网络模型,以包含因果关系的适当信息进行训练,然后用一组训练用数据组中未曾出现过的数据进行测试、检验。
While the earthquake causes large damage to human, the secondary disasters caused by the earthquake are bigger sometimes. Artificial neural network can diagnose the damage of hydraulic construction in earthquake, which is helpful to prevent secondary disasters caused by the earthquake. Specific approach is es- tablishing a model of artificial neural network first, and training with appropriate information including causality, then testing with a set of training data which does not appeared in the training data.

引文

[1]王效岳,刘好明,刘晓丽.改进BP神经网络在城市工业用电量预测中的应用[J].自动化技术与应用,2007(12).
[2]林济群.人工智能及其在工业上的应用讲义[M].福州:福州大学出版社,2002.