The existing methods of controlling lighting have the problem of excessive illumination error,and this paper introduces BP neural network to carry out the research on lighting control methods in smart home environment.Establish a smart home light environment model,and use BP neural network to train the model to realize automatic adjustment of light brightness.Through comparative experiments,it is proved that the new control method is closer to the conventional light,and the adjustment error is effectively controlled,and the control accuracy is extremely high.
关键词
BP神经网络/智能家居/灯光照明/照明控制/模糊推理
Key words
BP neural network/smart home/lighting and illumination/lighting control/fuzzy reasoning
维普
万方数据