【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。更多还原

【Abstract】 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.更多还原