Intelligent Home Lighting Control Method Based on BP Neural Network
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.
BP neural networksmart homelighting and illuminationlighting controlfuzzy reasoning
万方数据
维普
