Application of Cluster Analysis and BP Neural Network for Aerobics Athletes Achievement Evaluation Model

Abstract

Until today in development of science and technology, various disciplines and at all levels of macro and micro forecast the need and possibility of surge, forecast, as a kind of scientific method is increasingly permeated various fields of natural science and social science. In competitive sports, to predict the future development trend of the world the level of competitive sports and sports the best training load level is particularly urgent, it can promote the scientific training, improve the training effect. Therefore, the performance of predicted by the sports workers more and more attention. Aerobics in China, has firmly established itself as one of the world strong team strength, but the theoretical research is relatively backward. In order to improve the efficiency of athletes training and scientific, and at the same time to provide more effective tool for coach, this article embarks from the athletic ability, establishing evaluation system, using cluster analysis research associated with performance evaluation index, and then using artificial neural network model to build the evaluation model, and confirmed that its precision is higher.