Sports Training Management Model Based on Big Data Digital Technology under Complex Human Environment

Abstract

Data physical education process is also the practical process of information technology and college physical education curriculum integration. In order to improve the accuracy of college sports training management evaluation, we propose a golden sine algorithm (GoldenSA) based on back propagation neural network (BPNN) model whose performance is affected by its parameter selection to optimize BPNN (GoldSA-BPNN). The quality evaluation model of physical education in higher education institutions is based on GoldenSA. Firstly, a multi-indicator evaluation system of university sports training management based on hierarchical analysis was constructed from four dimensions, including teaching contents, teaching methods, teaching attitudes, and teaching effects; secondly, the scores of 12 secondary indicators of university sports training management evaluation were taken as the input vector of BPNN.