Prediction of Time Series Data with Low Latitude Features

Haoran Zhang, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang

Abstract: The main purpose of this paper is to study the key technology for the prediction of time series data. It has a very wide range of applications, such as forecasting sales. Forecasting sales can be said to play an important role in company operations. Whether for saving costs or inventory scheduling, accurate prediction can save unnecessary waste. From this aspect, this paper uses a neural network to achieve the purpose of the prediction.