在现有的火灾报警系统上，以武汉中山路隧道项目为支撑，获取实际运行中的数据作为训练样本数据，建立一个BP神经网络模拟模型。
In the existing fire alarm system, create a BP neural network simulation model which is based on Wuhan Zhongshan Road Tunnel project, access to actual operation data as the training sample data,.
对采用人工神经网络技术预测隧道地表沉降模型中进行了研究。
This paper researches a method to predict tunneling-induced ground subsidence with artificial neural network.
最后对在多种工况模拟的基础上，提出了一套能在现场应用的基于神经网络模型的隧道通风控制方法，并应用于实际的隧道通风工程中。
Finally, through simulating many ventilation conditions, a new tunnel ventilation control method based on neural network model is developed, which can be used in the field tunnel ventilation project.
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.
运用递阶分析方法，对本文所建立的盾构隧道和基坑工程地面变形神经网络模型中所选用的输入参数进行了敏感性分析，得出预测模型输入参数的敏感性排序。
The hierarchical analysis theory is used to analyze the sensitivity of the input parameters of the neural network model of ground deformation of shield tunnel and excavation.
基于神经网络方法建立了公路隧道纵向通风在线控制模型，结合交通模型、空气动力学模型及污染模型，对隧道内污染物进行了通风控制过程的动态模拟。
An on-line control model for road tunnel with longitudinal ventilation was proposed based on neural networks and by combining traffic model, aerodynamics model and pollution model.
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.
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.
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