| 基于贝叶斯网络的击剑训练优化 |
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| 引用本文： | 魏振钢,李庆强,马丽晶,徐可.基于贝叶斯网络的击剑训练优化[J].中国海洋大学学报(自然科学版),2009,39(2). |
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| 作者姓名： | 魏振钢 李庆强 马丽晶 徐可 |
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| 作者单位： | 1. 中国海洋大学信息科学与工程学院,山东,青岛,266100
2. 北京大学信息技术学院,北京,100871 |
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| 基金项目： | 国家奥运科技攻关项目 |
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| 摘 要： | 在击剑训练中,基于贝叶斯网络建立正向推理和逆向推理模型,发现训练过程和生理指标的相互关系.结合经验知识和样本数据,对该模型中网络结构的构造和网络参数的赋值方法进行详细说明.以女子重剑队的数据进行实验,并与BP神经网络方法进行性能比较.实验表明,该模型能有效的为教练员提供决策支持.
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| 关 键 词： | 训练优化 贝叶斯网络 击剑 生理指标 |
Optimization of Fencing-Training Based on Bayesian Network |
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| WEI Zhen-Gang,LI Qing-Qiang,MA Li-Jing,XU Ke.Optimization of Fencing-Training Based on Bayesian Network[J].Periodical of Ocean University of China,2009,39(2). |
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| Authors: | WEI Zhen-Gang LI Qing-Qiang MA Li-Jing XU Ke |
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| Institution: | 1.College of Information Science & Engineering;Ocean University of China;Qingdao 266100;China;2.School of Electronics Engineering & Computer Science;Peking University;Beijing 100871;China |
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| Abstract: | An inference model based on Bayesian network to discover the relation between training courses and physiological parameters in optimization of fencing-training was proposed. By combining experts' experience, the paper presents how to construct network structures and configure parameters, applied the sample data concerning women's epee in the experiments, and illustrated the performance-comparisons with BP neural network. The results show that the model is helpful in coaches' decision-making. |
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| Keywords: | training optimization Bayesian network fencing physiological parameters |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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