The Early Warning Model of Track and Field Sports Based on RBF Neural Network Algorithm

Abstract

Background: Athletics plays a very important role in competitive sports. The strength of track and field directly represents the level of a country's sports competition. Objective: This work aimed to study the track and field sports forewarning model based on radial basis function (RBF) neural networks. One hundred outstanding athletes were taken as the research objects. The questionnaire survey method was adopted to count athletes’ injury risk factors, and coaches were consulted to evaluate the questionnaire's overall quality, structure, and content. Methods: A track and field early warning model based on RBF neural network is established, and the results are analyzed. Results: The results showed that the number of people who thought the questionnaire was relatively complete (92%) was considerably higher than that of very complete (2%) and relatively complete (6%) (P<0.05). The number of people who thought that the questionnaire structure was relatively perfect (45%) was notably higher than that of the very perfect (18%) (P<0.05). The semi-reliability test result suggested that the questionnaire reliability was 0.85. Tests on ten samples showed that the RBF neural network model error and the actual results were basically controlled between −0.04~0.04. Conclusions: After the sample library test, the track and field sports forewarning model under RBF neural network can obtain relatively favorable results. Level of evidence II; Therapeutic studies - investigation of treatment results.

Construction of Curriculum Ideological and Political Collaborative Education Mechanism Based on Edge Computing and Neural Network Algorithm

“…More than 95% of professional teachers believe that teachers' daily teaching behavior and process will have an impact on students' world outlook, outlook on life, and values; 48.84% of teachers think it is important to integrate ideological and political elements in the courses they teach, and 46.51% of teachers think it is more important. From these two points, it can be seen that the professional course teachers of the university fully agree with the necessity of course teaching [ 23 ]. Teachers' understanding of the content and value of the elements in the curriculum elements are mainly academic integrity, professional ethics, scientific spirit, and the fourth-ranked love for the party and patriotism.…”