An Empirical Study on the Prediction of E-Commerce Sales by Optimizing Grey Neural Network Model

Abstract E-commerce is the main component of the new economy. In recent years, with the rapid development of the Internet, e-commerce shows great vitality. According to the requirements of the 13th five year plan, China’s e-commerce needs to be fully integrated into all areas of the national economy, and the e-commerce transaction volume is planned to reach 40 trillion yuan by 2020. However, the transaction volume of e-commerce is an important embodiment of the development level of e-commerce. Therefore, through scientific and reasonable algorithm, we can predict the transaction volume of e-commerce, which will reveal the depth of e-commerce development. Through the prediction of e-commerce transaction volume, enterprises and governments will conduct quantitative supervision on market development, which has become an inevitable requirement of e-commerce development. This paper first analyzes the basic theory of grey neural network. Then, the neural network prediction model is optimized.