Research on Constructing Intelligent Decision-Making Model for Football Training Based on Data-Driven Training Program Iteration Mechanism
摘要
This study aims to solve the problems of strong subjectivity in evaluation and delayed iteration of solutions in the technical training of football players, and constructs an intelligent decision-making theoretical model through systematic literature analysis. The PRISMA framework was used to screen 32 core documents, and the three-level coding of grounded theory was used to refine the “data-knowledge” dual-driven architecture. The model integrates multimodal data perception, hybrid algorithm decision-making and two-way feedback mechanism, and innovatively proposes the “compound trigger-double loop iteration” paradigm. Empirical comparison shows that compared with the traditional model, the new framework has a 63% lower misjudgment rate (p < 0.01) and a 6.2-fold increase in decision-making response speed. Expert validity tests confirm its logical completeness (4.7/5) and practical feasibility (4.1/5). The study provides a theoretical framework and implementation path for the intelligent transformation of the football youth training system.