基于MATLAB-NNT的高速公路软基处理方案决策模型

Decision model of soft soil foundation improvement method of expressways based on MATLAB-NNT

首先介绍了中国高速公路软基处理技术决策问题的研究现状,然后介绍了人工神经网络(ANN)BP模型和MATLAB神经网络工具箱(NNT)。最后以沪宁高速公路软基地质条件为实例,以MATLAB-NNT为工具,建立了高速公路软基处理方案的ANN决策模型,对所建立的ANN模型进行训练、回判和预测,得到了满意的结果,证明模型是有效的。

Along with the large-scale construction of expressways in China,the improvement of soft soil foundations becomes more and more important.Firstly,the status quo of soft soil foundation improvement method decision in Chinese ecpressway construction is introduced;then the artificial neural network(ANN),the back propagation(BP)model and the MATLAB-NNT are described.Finally,taking the geological condition of soft soil foundation of Hu-Ning expressway for example,and based on the MATKAB-NNT,a decision model of the soft soil foundation improvement method is established.After trained with input data and target data,recollected with same data and simulated with new input data,the result of the model is satisfied.The model is effective.