The use of deep-seated cement mixing pile in the soft ground settlement has been widely used.
深层水泥搅拌桩进行软基处理已得到广泛应用。
The paper takes the prediction of the soft ground settlement of Xibu tunnel filling sea project in Shenzhen as example, and discusses the way to solve the problem by adopting RBF neural network.
以深圳湾西部通道填海软基沉降的预测分析为例，探讨采用RBF神经网络解决这一问题的方法。
Through this estimate, one more precise prediction for the soft clay ground afterward settlement can be made to guide the design and control the construction.
利用反演所得的参数可进一步对软粘土地基后期沉降做出更为精确的预测，以指导设计和控制施工。
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