Prediction of Electric Load Neural Network Prediction Model for Big Data

Abstract

In the background of information network and big data era, the digitalization and information network level of China's financial industry has been improved, and many advanced big data analysis technologies have been derived, among which mobile big data analysis model is the most widely used. Based on the concept of financial investment, mobile big data analysis model can not only improve the accuracy of financial data analysis, but also quickly establish the financial investment evaluation and prediction model, providing a reliable basis for financial investment and financial development strategy. In this regard, the author combines relevant literature and his own work experience to conduct a detailed study on mobile big data analysis model based on financial investment concept. Mobile big data analysis model is a kind of data analysis model established based on big data technology, which has the characteristics of strong data collection ability, high accuracy of data statistics and analysis, and high efficiency of data application. Based on the concept of financial investment, the mobile big data analysis model can not only improve the financial investment analysis function of the mobile big data analysis model, but also improve the financial risk analysis ability of the model, which provides a reliable basis for financial investment and financial risk management. Therefore, the following briefly outlines financial investment, then analyzes the importance of building mobile big data analysis model based on financial investment concept, and finally analyzes the method of building mobile big data analysis model based on financial investment concept and briefly discusses the typical application of the model.