An Optimization Model of Applied Career Planning for Innovative and Entrepreneurial Talents Based on Credible Neural Networks

Abstract

The best career goals are determined in accordance with their own careers by thoroughly analyzing and weighing their own interests, hobbies, abilities, and characteristics in light of their own career’s subjective and objective conditions, as well as by measuring, analyzing, and summarizing those conditions. To accomplish this, we follow the trend and develop sensible plans. This study investigates career planning and the development of creative and business-minded skills using well-respected neural network technology. According to the research, the neural network technique in this study has the highest accuracy of the three ways. The maximum accuracy rate can reach 78.3%, according to the trend in the figure. Data mining is next with the highest accuracy rate at 62.9%, and big data is last with the highest accuracy rate at just 46.7%. As can be seen, this approach is more suited for evaluating the correctness of theoretical knowledge. Shaanxi can optimize the benefits of higher education and improve students’ understanding of career planning and social competitiveness by incorporating the concept of career management into the practice of developing applied abilities.