Research on Physical Fitness Grading Model of Swimming Training Based on Real-Time Cloud Computing

When the traditional physical fitness grading model was used to classify the swimming training physical fitness, there was a case where the classification accuracy was low and the stability was poor. Aiming at the above problems, a fitness training grading model based on real-time cloud computing was proposed. First, cloud computing was used to select the grading indicators constructed by the model and assign values to their weights, and then a comment set was created. At the same time, according to each index, the weight scale value was used to determine the rating scale of the index, and on this basis, the membership degree matrix was constructed to realize the fuzzy comprehensive evaluation of the physical fitness, and finally the rating level was determined according to the comment scale. The results showed that compared with the traditional physical fitness classification model, the classification accuracy was improved by 20%, and the accuracy of the model did not decrease with the increase of the number of classifications, and the stability was better.