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Updated: Jun 23, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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在线改善基于条件的维护政策通过蒙特卡罗树搜索

Michael Hoffman1, Eunhye Song1, Michael P Brundage2

  • 1Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA 16802 USA.

IEEE transactions on automation science and engineering : a publication of the IEEE Robotics and Automation Society
|June 17, 2024
PubMed
概括

本研究介绍了一种两阶段的方法,用于优化有限资源的制造系统的维护计划. 它将基于静态条件的维护 (CBM) 政策与在线蒙特卡罗树搜索 (MCTS) 结合起来,以提高生产量.

关键词:
基于条件的维护 (CBM)蒙特卡罗树搜索 (MCTS) 是一个基因算法 (GA) 是一种基因算法.

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