System for Evaluating Professional Development of Physical Education Guider Considering Different Layer SVM Data Mining

Abstract

System for evaluating professional development of the physical education guider considering different layer SVM data mining is studied in the paper. In solving the multi classification problem, the support vector machine is equivalent to using multiple hyperplanes to segment the data samples in the region surrounded by hyperplanes. Spherical structure support vector machine defines the sample set represented by each label with a sphere, and the sample space is equivalent to several hyperspheres. With this combination, the sensor monitoring system is improved from 2 aspects. (1) The WIFI module installed on the on-site machine establishes reliable and stable communication with the core main control center control computer through the 5G network to complete the data monitoring. (2) IP address of the WIFI module is not fixed, so two core dynamic IP address devices cannot be directly connected to the Internet communication. Then, the system is applied to the task of evaluating professional development of the physical education guider. The simulation has been considered to validate the robustness and efficient of the designed model.