Application Research of Quantitative Economic Decision System Based on Neural Network Algorithm

With the continuous development of artificial intelligence and machine learning, the old economic system can no longer keep up with the times. In order to improve the stability of the system, this paper proposes a new system based on neural network algorithm. The article outlines the basic framework and elements of the quantitative economic decision-making system, covering data collection and preprocessing, model construction and training, decision generation and evaluation. At the same time, the application of neural network algorithms in quantitative economic decision-making systems is expounded in detail, including market forecasting, stock trading, risk assessment, and economic policy formulation. Through case studies and empirical analysis, the advantages and effectiveness of neural network algorithms in these fields are demonstrated. The experimental results show that the accuracy rate of the system in this paper is between 91 % and 98%, which solves the problems of the current system well and improves the efficiency of the system in decision-making.