A new teachers career planning prediction method based on GA-BP energy neural network

摘要

The professional development of university teachers is the process of lifelong development for teachers as educators. The teachers planning prediction is very important for teachers to design the development planning efficiently. At present, most types of career planning prediction are based on subjective analysis method. There are many shortages in traditional prediction method, such as poor scientific, too much human factors, difficult popularity and so on. The BP neural network technology is used in this paper to establish the teachers career planning prediction model. The genetic algorithm(GA) is used to optimize the initial parameters of BP energy neural network. Then a scientific and rational planning prediction model of teacher professional development is obtained. The data of teachers career is used to test the new prediction model. The results demonstrate that the new teachers career planning prediction model based on GA-BP energy neural network is better than the one based on traditional methods.