Research and implementation of human-autonomous devices for sports training management decision making based on wavelet neural network

Abstract

Human automation involves almost all areas of human activity. Therefore, human automation is the never-ending dream and goal of human beings since ancient times. In order to improve the decision-making ability and planning ability of sports training management, a decision model of sports training management is proposed based on wavelet neural network, the fuzzy data collection of sports training management decision evaluation data is carried out by statistical characteristic analysis. The similarity feature is extracted from the collected data of sports training management decision information, and the time–frequency decomposition of the information flow of sports training management decision data is carried out by wavelet transform, and the associated information feature quantity which reflects the sports training management decision is extracted. Neural network classifier is used for information classification fusion to extract feature quantity, and big data mining of sports training management decision information is realized in fuzzy clustering center, which combines with optimization evaluation and prediction to realize sports training management decision optimization. The simulation results show that the evaluation accuracy and convergence control performance of this method for sports training management decision analysis are higher.