摘要
总结分析了一般混凝土结构剩余使用寿命预测方法,在吸取等维灰色递补 GM(1,1)模型的优点之后,提出了利用 RBF 神经网络对既有钢筋混凝土结构的剩余使用寿命进行预测的方法。通过理论分析及应用,证明了其可行性。
General prediction methods of residual service life of RC structures are analyzed in this paper, the method that RBF neural networks be used to predict the residual service life of existing RC structures is put forward after extracting the merits of the equal dimension and grey dynamic model GM （ 1,1 ）. The method is proved to be feasible through the analysis of theory and application.
出处
《建筑技术开发》
2007年第4期7-9,共3页
Building Technology Development
