Prediction Model of Commercial Economic Index Based on BPNN Optimization Algorithm

In this paper, a prediction method of business economic index based on BP neural network (BPNN) optimization algorithm is proposed. The parameters of BPNN model are optimized by introducing genetic algorithm, and the optimized BPNN model is used to predict the business economic index and get the optimal value. In the experiment, the optimized BPNN model is applied to the prediction of total commercial output value and commercial power consumption, and compared with the traditional BPNN prediction model. According to the experimental results, the BPNN optimization model is more accurate in the judgment and prediction of the trend of business economic operation indicators, which can provide an effective basis for the business macro decision-making and promote the long-term healthy development of the commercial economy.