Prediction of Animal Husbandry Output of Tibet Autonomous Region Based on Wavelet Transform and Exponential Smoothing Method
The combination of wavelet transform and exponential smoothing method was used to predict the output value of animal husbandry in Tibet autonomous region.Firstly,the original time series is subjected to wavelet transform,and noise signals are removed from the original signal through signal reconstruction.Then,the noiseless signal is predicted using the cubic exponential smoothing method.Finally,the predicted value of the expo-nential smoothing method is added to the noise signal to restore the prediction of the original time series.The results show that the average error of the wavelet transform and exponential smoothing method is 0.7156%,which is 52.2774%less than the average prediction error of the traditional cubic ex-ponential smoothing method of 1.4995%.This model predicted that the output value of animal husbandry in 2023 in Tibet autonomous region will be 14.27028 billion yuan.
NETL
NSTL
万方数据
维普
