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基于大数据的运动员训练进度智能制定系统设计 被引量:2

Intelligent formulation system design of athletes training schedule based on large data
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摘要 传统运动员训练进度定制过程为人工制定,耗费大量人力,且定制过程复杂繁琐,为此设计了基于大数据的优秀运动员训练进度智能定制系统。系统引入MAHSUH服务器,为实现智能化进度制定创造了硬件基础,建立了Okumura-Hata智能模型,对运动员训练数据进行特点数据提取,实现初步智能反馈制定,修正运动员训练进程计算,实现标准化智能反馈,最终完成智能训练制定。模拟使用环境并进行了对比试验,通过实验数据的分析,验证了设计的优秀运动员训练进度智能定制系统在大数据环境下的有效性。 The customization process of traditional athletes' training schedule is artificially formulated, consuming a lot of manpower, and the customization process is complex and complicated. Therefore, an intelligent customization system for elite athletes" training schedule based on big data is designed. The MAI-ISUH server into the system, create a hardware foundation for the realization of intelligent scheduling, Okumura-Hata intelligence model is established for the training of athletes, data characteristics of data extraction, realization of intelligent feedback correction formulation, athletes training process, realize the standardization of intelligent feedback, the final completion of intelligence training. The simulated environment is used and the contrast tests are carried out. The analysis of the experimental data verifies the effectiveness of the designed excellent training schedule and the intelligent Customization system in the large data environment.
作者 马丽君 MA Li-jun(College of Physical Education, Xianyang Normal University, Xianyang 712000, Chin)
出处 《电子设计工程》 2018年第5期67-70,75,共5页 Electronic Design Engineering
基金 陕西省体育科研常规课题(17055)
关键词 竞技运动员 训练进度 定制系统 设计 athletic athletes training schedule custom system design
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