Research on demand forecast of shared bicycle based on BP neural network
Taking the area around Tiexi Square in Shenyang as a case,this paper constructs a prediction model based on BP neural network,selects the historical bicycle usage data of the case area,and uses Matlab software to program the model to get the predicted bicycle usage of the case area in the future.The results show that the prediction model based on BP neural network can be applied to bike-sharing system,which provides technical and theoretical support for enterprises to reduce operating costs and improve service level.
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维普
