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Research on the application of the improved genetic algorithm in the electroencephalogram-based mental workload evaluation for miners

机译：改进遗传算法在基于脑电图的矿工心理工作量评估中的应用研究

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摘要

Electroencephalogram is the electrical phenomena in the cerebral cortex or the scalp surface due to the electrophysiological activity of brain cells. Electroencephalogram has great theoretical and practical significance in measuring mental workload of people. More precise electroencephalographic is a precondition to study mental workload of miners. In this article, based on the actual situation of the electroencephalographic measurement of miners, the particle swarm optimization is introduced to improve the standard genetic algorithm, and put forward a combined method integrating the genetic algorithm with particle swarm optimization for achieving electroencephalogram-based measures of miners' mental workload. Moreover, the MATLAB simulation platform is used for simulation testing. Testing results prove the effectiveness of the combined method.
机译：脑电图是由于脑细胞的电生理活性导致的大脑皮层或头皮表面的电现象。脑电图在测量人们的心理负荷方面具有重要的理论和实践意义。更精确的脑电图是研究矿工心理工作量的前提。本文根据矿工脑电图测量的实际情况，介绍了粒子群算法对标准遗传算法进行改进，提出了将遗传算法与粒子群算法相结合的方法，以实现基于脑电图的措施。矿工的精神工作量。此外，MATLAB仿真平台用于仿真测试。测试结果证明了该组合方法的有效性。

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  • 作者

    Li Hongxia; Di Hongxi; Li Jian; Tian Shuicheng;

  • 作者单位

    School of Management, Xi'an University of Science and Technology, Xi'an, China,School of Energy Engineering, Xi'an University of Science and Technology, Xi'an, People's Republic of China,Key Laboratory of Western Mine Exploitation and Hazard Prevention, Xi'an University of Science and Technology, Xi'an, China;

    School of Management, Xi'an University of Science and Technology, Xi'an, China,School of Energy Engineering, Xi'an University of Science and Technology, Xi'an, People's Republic of China,Key Laboratory of Western Mine Exploitation and Hazard Prevention, Xi'an University of Science and Technology, Xi'an, China;

    Shanxi Provincial AuditOffice, Xi'an, China;

    School of Energy Engineering, Xi'an University of Science and Technology, Xi'an, People's Republic of China,Key Laboratory of Western Mine Exploitation and Hazard Prevention, Xi'an University of Science and Technology, Xi'an, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Genetic algorithm; particle swarm optimization; improved genetic algorithm; mental workload; electroencephalogram;

    机译：遗传算法粒子群优化;改进的遗传算法;精神工作量;脑电图;
  • 入库时间 2022-08-18 00:37:29

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