摘要
以西安市政管网井下清淤为研究背景,对安全风险指标体系进行建模并量化风险指标,采用BP神经网络梯度下降法进行模式识别,计算得出风险指标重要参数,以期得到对实际作业的技术指导。
Taking Xi’an municipal pipeline’s underground dredging as the research background,the safety risk index system is modeled and the risk index is quantified.The BP neural network gradient descent method is used for pattern recognition.The important parameters of the risk index are calculated to obtain the actual operation technical support.
作者
韩进光
王勇
闫娜
Han Jinguang;Wang Yong;Yan Na(East Suburban Municipal Maintenance Management Company in Xi’an City,Xi’an 710016,China)
出处
《山西建筑》
2020年第14期192-193,共2页
Shanxi Architecture
关键词
市政管网
风险
BP神经网络
municipal pipeline network
risk
BP neural network
