Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network.

ABSTRACT: This study explores the integration of artificial intelligence (AI) teaching assistants in sports tennis instruction to enhance the intelligent teaching system. Firstly, the applicability of AI technology to tennis teaching in schools is investigated. The intelligent teaching system comprises an expert system, an image acquisition system, and an intelligent language system. Secondly, employing compressed sensing theory, a framework for learning the large-scale fuzzy cognitive map (FCM) from time series data, termed compressed sensing-FCM (CS-FCM), is devised to address challenges associated with automatic learning methods in the designed AI teaching assistant system. Finally, a high-order FCM-based time series prediction framework is proposed. According to experimental simulations, CS-FCM

SUBMITTER: Song X 

PROVIDER: S-EPMC10876635 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature