应用调整好的神经网络模型对沪宁线检测数据进行测试，结果表明，该模型对路基翻浆冒泥病害的识别率达90%以上。

The adjusted network is used to test the GPR data of the Shanghai-Nanjing Railway. The results indicate that the model achieves a recognition rate of subgrade mud pumping defects above 90%.