The teaching task of the traditional mobile intelligent physical education teaching evaluation algorithm is chaotic, and the marking of important physical education teaching task is ignored, which leads to the calculation error of the traditional algorithm and the time consuming is also long. Therefore, a new mobile intelligent evaluation algorithm is designed and applied to the teaching evaluation of mobile intelligent physical education. A mobile intelligent BiLSTM (bidirectional long and short term memory) model is constructed to complete the sequential intelligent annotation of sports tasks. According to the influencing factors of intelligent management of sports resources, the weight of evaluation index is determined and the quantitative evaluation model is established. Genetic algorithm is used to calculate the optimal solution of model parameters, and finally the design of mobile intelligent evaluation algorithm is realized. The experimental results show that the algorithm designed in this paper has higher evaluation accuracy than the traditional mobile intelligent sports evaluation algorithm, and the evaluation accuracy can be kept above 96%. The fluctuation range of the evaluation results is −2% ~ 2%, indicating that the proposed algorithm has good stability. The application time of the proposed algorithm is about 1 ms, which verifies that the algorithm has short time consuming performance.
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De-kun, ., Memon, F.H. Design of Mobile Intelligent Evaluation Algorithm in Physical Education Teaching. Mobile Netw Appl (2021). https://doi.org/10.1007/s11036-021-01818-1
- Physical education teaching
- Mobile intelligence
- Evaluation algorithm
- Mobile intelligent BiLSTM model
- Genetic algorithm