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Forecasting approach of subway tunnels deposition based on ANP-SOM model

机译:基于ANP-SOM模型的地铁隧道沉积预测方法

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The main influencing factors on its nature of complexity and indetermination are analysed deeply in this paper. Super Decisions software of ANP (Network Analytic Hierarchy Process) is used to solve the weights of all the influence factors. Use them as the initial weights to train SOM neural network for the fine-tuning; a new ANP-SOM model which consider to various factors, levels and impact of each other feedback synthetically is pretended. This model is well-adjusted, convergence and precision. It was used in forecasting of Xi'an Tunnel deposition and has achieved a good predicted result.
机译:本文深入分析了复杂性和不确定性质的主要影响因素。 ANP(网络分析层次处理)的超级决策软件用于解决所有影响因素的权重。 用它们作为初始权重,以便为微调训练SOM神经网络; 假装综合考虑各种因素,水平和互相反馈的各种因素,水平和影响的新ANP-SOM模型。 该模型进行了良好的调整,收敛性和精度。 它用于预测西安隧道沉积,并实现了良好的预测结果。

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