Sports Department, Wuhu Institute of Technology, Anhui Wuhu 241003, China.
Comput Intell Neurosci. 2022 Aug 21;2022:1932596. doi: 10.1155/2022/1932596. eCollection 2022.
In the analysis of the teaching tactical characteristics of track and field sports training in colleges and universities, the teaching tactical characteristics are not quantified, which leads to the low key degree of determining the influencing factor indicators in colleges and universities, and the error in the evaluation of the teaching tactical characteristics of track and field sports training is large. Therefore, this paper designs a method to analyze the tactical characteristics of college track and field sports training teaching based on deep neural network. Firstly, by analyzing the current situation of track and field sports training teaching in colleges and universities, it determines the areas that need to be improved in teaching. Then, by determining the factors of teaching environment, the core competitiveness of track and field teams, and the teaching ability of track and field coaches, these factors are determined as the key characteristics, the data basis is analyzed, and the unified data quantitative processing is carried out to determine the key factor indexes affecting the analysis of tactical characteristics. Finally, the deep neural network is introduced to construct the evaluation model of the tactical characteristics of college track and field sports training teaching, and the characteristic analysis results are further modified with the help of cascade noise reduction self-encoder to complete the analysis of the tactical characteristics of college track and field sports training teaching. The experimental results show that the proposed method can effectively analyze the teaching tactical characteristics of track and field sports training in colleges and universities and improve the performance of the evaluation of the teaching tactical characteristics of track and field sports training.
在分析高校田径运动训练的教学战术特点时，没有对教学战术特点进行量化，这导致高校确定影响因素指标的关键程度较低，田径运动训练教学战术特点的评价误差较大。因此，本文设计了一种基于深度神经网络的高校田径运动训练教学战术特点分析方法。首先，通过分析高校田径运动训练教学的现状，确定教学中需要改进的领域。然后，通过确定教学环境、田径队核心竞争力和田径教练员教学能力等因素，将这些因素确定为关键特征，对数据基础进行分析，并对影响战术特征分析的关键因素指标进行统一数据定量处理。最后，引入深度神经网络构建高校田径运动训练教学战术特征评价模型，并借助级联降噪自编码器对特征分析结果进行进一步修正，完成高校田径运动训练教学战术特征的分析。实验结果表明，所提方法可以有效分析高校田径运动训练的教学战术特点，提高田径运动训练教学战术特点评价的性能。
