Neural networked prediction model based on time series prediction

Time series is a common data type of research. Accurate time series prediction is of great significance of big data research, meteorological prediction and other fields. In order to predict the data onto next few days more accurately, based on the BP neural network theory, combined with the advantages of fast local convergence and ideal overall convergence of Levenberg-Marquardt algorithm, a neural network prediction model of time series is constructed.