Big data survey on employee exercise in new high-tech photovoltaic enterprises: Highlights on start-up photovoltaic companies

被引：0

作者：

Wang Z. ^{[1
]}

机构：

[1] Capital University of Physical Education and Sports, 100191, Beijing Province

来源：

Light and Engineering | 2018年 / 26卷 / 03期

关键词：

Fitness function; Fitness value; High-tech; Photovoltaic; Physical exercise;

D O I：

10.33383/2018-137

中图分类号：

学科分类号：

摘要：

Numerous studies show that scientific and reasonable physical exercise can promote human health. Reasonable exercise prescriptions based on an individual’s physical condition is important in improving one’s health. On this basis and through the investigation on the big data of emerging high-tech photovoltaic enterprises, the development and design of a human health model and science in sports are developed based on ant colony optimization algorithm. Finally, the requirement analysis, design, specific application, and model algorithm testing of the physical fitness exercise prescription model can provide a scientific strategy for human health and scientific movement. © 2018, LLC Editorial of Journal Light Technik". All rights reserved."

引用

页码：174 / 180

页数：6

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