Research on Integration of Innovation and Entrepreneurship Education Resources Based on Embedded Neural Network Algorithm

With the comprehensive promotion of the national innovation-driven development strategy, innovation and entrepreneurship education has become the core battlefield for cultivating talents with innovative spirit, entrepreneurial ability, and social responsibility. This field is not only related to individual growth and career development, but also the core engine for promoting the transformation and upgrading of the national economy and achieving innovation-driven development. This paper introduces advanced embedded network technology to explore new paths for optimizing resource allocation. This paper constructs a multi-level innovation and entrepreneurship education resource integration model based on embedded network technology. Based on the clustering results of embedded networks, this paper further designs a targeted resource integration scheme. Several typical cases were selected for empirical analysis. By comparing and analyzing key indicators such as educational effectiveness, student satisfaction, and entrepreneurial success rate before and after implementing resource integration, the application effectiveness of embedded network technology in innovation and entrepreneurship education resource integration was evaluated. The practical results show that this model can significantly improve the efficiency and quality of educational resource utilization, providing strong support for the sustainable and healthy development of innovation and entrepreneurship education.