Football is one of the sports that is loved by people all over the world. Its sales ability in the league should not be underestimated. Moreover, football has been developed in our country since ancient times and has a huge fan base, and fans are the main target of football league sales. Predicting the sales effect of the football league is helpful for the seller to formulate a suitable sales strategy and avoid the problem of product surplus. This article mainly introduces the prediction research of football league sales effect based on BP neural network, and intends to provide ideas and methods for predicting the sales effect of football league. This paper puts forward the basic method of the sales effect prediction of the football league and the BP neural network football league sales effect prediction method to analyze and predict the sales effect of the football league. In addition, the steps of establishing BP neural network design, building BP neural network football league sales effect prediction model and applying BP neural network football league sales effect prediction model are also proposed. The experimental results of this article show that the difference between the fitting part of the neural network model and the real value of the football league sales effect sample data is in the range of , the error percentage difference is small, and the prediction results are valid。
With the rapid development and popularization of network technology, the application of the network in the field of education has become more and more extensive. Currently, network technology is affecting all aspects of sports with unprecedented influence. At present, there are many researches on the development of sports network curriculum resources, but there are relatively few researches on the entry point of the development of sports network curriculum resources and which management mode to implement. In order to study the resource development entry point and management performance evaluation of sports network courses, This article uses the method of literature data to consult and refer to various domestic and foreign literature related to this article to study the management performance evaluation of sports network courses. The final results show that the development of physical education network curriculum resources should be based on the design concept of physical education network teaching, starting from physical education teaching materials, and combining the needs of students and schools to excavate and collect curriculum resources. In the experimental research on the performance evaluation of online course resource management, we found that the humanistic management mode and technical management mode of online course resources have a great influence on the performance evaluation of online course resource management. In the management model before the improvement, students choose courses based on their own interests and hobbies. The newly added course resources are more attractive to students, and the number of students who choose them accounts for about 50% of the total number; in the management model after the improvement , The effective management model is more attractive to students, and the number of students who choose the improved old curriculum resources has increased by 5%. Therefore, to manage the online course resources with a scientific and reasonable management mode is the focus of the development of sports online course resources.
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