摘要
针对高速公路隧道施工系统的安全评价问题,将模糊理论与神经网络相融合,研究建立了一种模糊神经网络评价模型。阐明了评价系统的工作原理及实现方法。利用历史样本数据对网络模型进行学习训练和测试,工程实例结果显示,评价精度满足工程应用要求。该评价模型具有对环境变化的自学习能力,对权值进行调整,动态地评价公路隧道施工系统的安全状态,是公路隧道施工安全评价方法中的一种新的评价方法。
According to safety evaluation of expressway tunnel construction system,combining fuzzy theory and neural network,an evaluation model of fuzzy neural network is established.In this paper,the working principle and implementation method of this system for evaluation are described.Through studying,training and testing neural model with historical sample data,it is shown from engineering examples that evaluation accuracy satisfies engineering application requirement.This evaluation model has self-learning ability with the changes of environment to adjust weights and dynamically evaluate the safe state of highway tunnel construction system,which is a new evaluation method for tunnel construction safety.
出处
《路基工程》
2011年第2期77-79,共3页
Subgrade Engineering
基金
江西省教育厅科技项目(GJJ09371)
关键词
隧道工程
安全评价方法
模糊神经网络
施工系统
动态评估
tunnel engineering
safety evaluation method
fuzzy neural network
construction system
dynamic evaluation
