Fencing Training Decision Support System Based on Bayesian Network

In order to coordinate with and promote the scientific process of the national fencing team, we developed the decision support system for training. In fencing training, we established a two-way reasoning model based on Bayesian network and found the relationship between training process and physiological indicators. Combined with experienced knowledge and sample data, we did research on knowledge representation, learning methods and reasoning functions of network in this model and ultimately got the formation of a complete set of training process management and analysis system. We took the women´s epee team as experimental data and did performance comparison with the BP neural network method. The experiments showed that the model can provide effective decision support for coaches.