Paper Info
Title
An Intelligent Optimization Method Of Motion Management System Based On Bp Neural Network
Abstract
Intelligent recognition sports management system applied to athletes' sports management system can effectively improve the quality of training and competition. At present, the technical bottlenecks of most sports management systems are in the sports recognition classification module. Based on BP neural network, this research has carried out experiments and analysis from feature extraction, feature selection, principal component analysis to the selection of support vector machine model functions. Moreover, this study designs a human pose recognition algorithm based on a convolutional neural network, optimizes the structure and parameters of the convolutional neural network, and designs a motion management system based on this algorithm. In addition, this study compares the performance of the proposed algorithm with other algorithms. The research shows that the method proposed in this research has certain practical significance and can provide theoretical references for subsequent related research.
Year
DOI
Venue
2021
10.1007/s00521-020-05093-1
NEURAL COMPUTING & APPLICATIONS
Keywords
DocType
Volume
BP neural network, Motion management, Simulation, Recognition rate, Recognition performance
Journal
33
Issue
ISSN
Citations 
2
0941-0643
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Tuojian Li100.34
Jinhai Sun200.34
Lei Wang3401111.60