Scientific and accurate prediction of high-tech industries is of great practical significance for government departments to grasp the future economic operation and formulate development strategies. In this paper, aiming at some shortcomings of neural network (NN) applied in economic forecasting, GANN was introduced to construct the economic forecasting model of high-tech industry. Genetic algorithm (GA) has simple calculation and strong robustness and can generally ensure convergence to the global optimum, which effectively overcomes the shortcomings of NN using gradient descent method. In order to verify the feasibility of the economic forecasting model in this paper, the comparative experiments of different models are carried out in this paper. Experimental results show that the proposed algorithm has faster convergence speed and greater generalization ability, and the average error rate is reduced to about 1%. The prediction accuracy of this model reached 95.14%, which was about 11.93% higher than the previous model. Applying the economic forecasting model in this paper to the economic forecasting of high-tech industries can provide the means and reference value for the government to formulate regional future economic development plans, forecast, and control the economic growth and development direction.

Shared manufacturing is the application innovation of the digital economy in the field of manufacturing and brings new opportunities for the transformation and upgrading of China and even the global manufacturing industry. In order to explore the strategy selection of enterprises on the shared manufacturing platform, this study constructs a two-party evolutionary game model and analyzes the dynamic relationship between manufacturing enterprise A and manufacturing enterprise B. Furthermore, in order to explore the influence of consumers’ strategies of manufacturing enterprises on the platform, the study constructs a tripartite evolutionary game model of manufacturing enterprise A, manufacturing enterprise B, and consumers. Based on the principles of system dynamics, the paper uses Matlab to simulate the evolutionary game process dynamically and discusses the influence of parameter changes on resource-sharing enthusiasm and strategy selection. The research shows that in the two-party game, manufacturing enterprises are more inclined to adopt the strategy of sharing manufacturing resources. In the tripartite game, consumers’ decision-making will affect the strategic choice of manufacturing enterprises. Consumers tend to establish strong dependence on shared-manufacturing products in the process of sharing manufacturing resources.