根据BP网络的基本原理，建立了隧道锚喷支护设计的神经网络模型。
The paper establishes neural network model of bolt shotcrete support design in tunnel based on the theory of BP network.
本文针对高跨比较小的三车道公路隧道，结合某工程设计的支护结构体系进行了模型试验研究，并进行了必要的有限元计算分析。
In this paper, by the model test, authors study some design of support structure system with three-lane road tunnel of small-scale and high-span.
利用该人工神经元网络模型，在具体的公路隧道仰坡设计中进行应用，并可以在施工过程中进行随地质条件变化的动态控制设计，进一步完善该网络模型。
The ANN model is applied in the real tunnel designs and the model is use in the building process so the network can be made perfect.
以地表最大允许沉降值作为目标控制值，设计了一个用于制定隧道工程环境影响控制策略（施工技术措施）的动态优化模型。
With the allowable maximum ground settlement as target value, a dynamic optimization model is designed to draw up the strategy(technical measures) controlling the effect of tunnelling on environment.
以地表最大允许沉降值作为目标控制值，设计了一个用于制定隧道工程环境影响控制策略（施工技术措施）的动态优化模型。
With the allowable maximum ground settlement as target value, a dynamic optimization model is designed to draw up the strategy(technical measures) controlling the effect of tunnelling on environment.
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