Parallel Integration Method of Physical Education Information Based on Multi Machine Learning Model

Physics education is one of the important subjects to cultivate students' Scientific literacy and innovation ability. However, the traditional physics education lacks personalized and diversified teaching methods. At the same time, the conventional parallel integration methods of physics education information usually only focus on the integration of decision-making information, ignoring the parallel integration link, resulting in poor integration effect.Therefore, a parallel integration method of physical education information based on multi machine learning model is designed. Extracting physical education information and integrating the feature of elements, machine learning and classifying multiple physical education information. Based on the multi machine learning model, the integration and transmission mechanism of physical education information is measured, the physical education information and data are transferred in a two-way way, and the physical information flow is integrated and managed in a parallel integration mode, so as to realize the parallel integration of physical education information. The simulation experiment verifies that the integration method has better integration effect and can be applied in real life.