The Research and Application of the Improved Prediction Model for Big Data
Lili Jiang · 2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI) · 2021
With the development of big data technology, the application of data fusion in different disciplines and fields is the hot spot of big data research and application in the future, and more industries are facing the problem of massive data prediction. In this paper, a new improved prediction model is proposed. In the prediction process, PCA algorithm is used to process the data. Gaussian process regression model is used to fit the basic prediction data and residual series. The residual series modified by BP neural network is combined with the basic prediction data to obtain the prediction results. Compared with the single model, this model is more applicable and accurate.