The CPI Combination Prediction Model Based on AR-LSTM-BP
This paper proposes an AR-LSTM-BP combination prediction model to address the accuracy of predicting consumer price index(CPI).First,we select three models to predict the CPI:the AR model,the LSTM model and the BP neural network model.Then we introduce the concept of induced ordered weighted harmonic mean operator(IOWHA),and construct the combination prediction model.The results show the IOWHA combination prediction model performs at a better prediction level than other individual prediction models,and the accuracy of the prediction results is high,which can reflect the fluctuation trend of CPI quite well.
CPIAR modelIOWHA operatorcombination prediction model
NETL
NSTL
万方数据
