摘要
引入善于处理复杂非线性问题的模糊神经网络算法,通过制定模糊控制表,在收集的历史数据训练集上进行训练、验证及测试,输出结果作为照明调节依据,以实现隧道照明系统随着车流量等影响参数进行自动调节,最终达到节能目的。
The fuzzy neural network algorithm,which is good at dealing with complex nonlinear problems,is introduced.It is trained,verified and tested on the collected historical data training set by formulating the fuzzy control table,and the output results are used as the basis for lighting adjustment,so as to realize the automatic adjustment of tunnel lighting system with the influence parameters like traffic flow,and finally achieve the purpose of energy saving.
作者
刘金
Liu Jin(Liaoning Transportation Research Institute Co.,Ltd.,Shenyang 110015,China)
出处
《北方交通》
2021年第12期74-76,80,共4页
Northern Communications
关键词
隧道照明
模糊控制
神经网络
Tunnel lighting
Fuzzy control
Neural network
