Demand Forecasting for Shared Umbrella using BP Neural Network

Shared umbrella can bring us convenience in rain and snow. But uncertainty umbrella demand and the weather may cause the unbalance for a shared umbrella station. According to the information of the rainfall, temperature and so on, this paper proposed an efficient BP neural network to construct a prediction model for predicting the demand of the shared umbrella. Taking Wuhan city as an example, the experimental results show that the proposed method can improve the prediction accuracy of the demand.