Optimization of Growth Path for Enterprises Based on Complex Network Analysis and Embedded Neural Network Integration

The rapid development of the research and study market has enhanced the intensity of market competition among enterprises, making the growth path of research and study entrepreneurial enterprises more complex. In order to enhance the growth path and deeply optimize the enterprise development strategy, this paper constructs an enterprise relationship analysis model using complex network analysis to help research and learning enterprises grasp the state of the market environment. It also analyzes customer information through the on-chip system integrated with embedded neural network to provide data information for enterprise product design optimization. The experimental results show that the model can effectively analyze the strength of the correlation between the research and learning entrepreneurial enterprises and other enterprises, and help the enterprises to understand their dominance over resources and information. In addition, the enterprise model in this paper is also able to analyze the market positioning deviation rate of enterprise research and learning products, and the research and learning products adjusted according to the results of the model analysis effectively enhance the efficiency of resource utilization, strengthen the enterprise’s dominance over resources and information in the network, improve the competitiveness of the enterprise’s market, and contribute to the shortening of the enterprise’s growth path and the optimization of the development strategy.