利用径向基函数前馈式神经网络的特性，构建了连拱隧洞围岩变形的预测模型，并利用Matlab工具对模型进行求解。最后的工程实例对文章的方法进行了检验，其结果表明，此方法具有求解速度快，结果更为优化、预测效果更好等优点。

The key of forecasting transmutation of wall rock correctly is to construct the reasonable mathematics model of time-distance curve from measuring data when distorting, which is hard to describe accurately with traditional method of recursive analysis. According to the characteristics of feed forward neural network of radial basis function to construct the forecast model of deformation of wall rock in multi-arch tunnel and cllso uses Matlab tool to solve the optimal problem. The engineering case at the end of this paper validates the method. For its fast solving the problem,more optimal results,and better forecasting effects,this method shows its advantages and feasibility.