【摘要】 该文简要介绍了RBF神经网络相对于BP神经网络的优点,分析了RBF神经网络的模型和结构。在此基础上通过Matlab编程语言建立了一预测深基坑工程监测项目的重要内容——墙体位移的RBF神经网络模型,经过工程实例验证了该模型的正确性,说明RBF神经网络在对深基坑工程监测项目的预测是可行和有效的。更多还原

【Abstract】 The model and structure of RBF neural networks are analyzed. RBF neural networks take advantage ofBP neural networks. By the computer language of Matlab, a module of RBF neural networks that predictsdisplacement, one of the important items in monitoring the deep foundation excavation, is formed. Themodule is verified by the example and proved that the method of using the RBF neural networks in pre-dicting the items of monitoring the deep foundation excavation is practicable and effective.更多还原