Construction of applied talents training system based on machine learning under the background of new liberal arts.

ABSTRACT: The development of the new liberal arts field places emphasis on the integration of disciplines such as humanities, engineering, medicine, and agriculture. It specifically highlights the incorporation of new technologies into the education and training of liberal arts majors like economics, law, literature, history, and philosophy. However, when dealing with complex talent data, shallow machine learning algorithms may not provide sufficiently accurate evaluations of the relationship between input and output. To address this challenge, this article introduces a comprehensive evaluation model for applied talents based on an improved Deep Belief Network (DBN). In this model, the GAAHS algorithm iteratively generates optimal values that are utilized as connection weights and biases for the res

SUBMITTER: Tang F 

PROVIDER: S-EPMC10403176 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature