基于RBFNN的铁路混凝土桥梁构件状态评估

介绍了RBF神经网络模型的结构和训练算法,提出了既有铁路桥梁构件的综合状态评估模型,根据RBF神经网络的自适应性和学习能力,成功的将RBF神经网络应用于既有铁路桥梁构件综合状态评估中去,并给出了便于获取,且能全面准确反映桥梁实际工作状态的输入参数.以某铁路线的若干组实测数据对RBF神经网络进行训练和测试,系统输出与期望输出吻合较好,证明了RBF神经网络评估既有桥梁构件综合状态的准确性、有效性和稳定性.

State Assessment of the Concrete Railway Bridge Member Based on RBF Neural Network

The framework and training algorithm of RBF neural network are introduced,and the comprehensive state assessment model for existing railway bridge members is put forward.RBF neural network is applied into the comprehensive state assessment of the railway bridge members successfully by its self-adaptability and study capability,and the input parameter is given,which is acquired expediently and can reflect the actual assessment of existing railway bridge members roundly and truly.The evaluation results of some existing bridges in a railway demonstrate the veracity,practicality and effectiveness of the RBF neural network,which is coincident with the expected value.