Study Findings from Indian Institute of Technology (IIT) Kharagpur Provide New I nsights into Machine Learning (Subnetwork Prediction Approach for Aircraft Sched ule Recovery)

印度理工学院(IIT)Kharagpur的研究结果为机器学习（飞机计划恢复的子网预测方法）提供了新的视角

Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：146-146.

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Study Findings from Indian Institute of Technology (IIT) Kharagpur Provide New I nsights into Machine Learning (Subnetwork Prediction Approach for Aircraft Sched ule Recovery)

印度理工学院(IIT)Kharagpur的研究结果为机器学习（飞机计划恢复的子网预测方法）提供了新的视角

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在已经可用。根据Ne wsRx记者从印度Kharagpur发回的新闻报道，研究表明：“飞机调度恢复问题的组合优化技术成本太高，无法计算。然而，为了实时应用，我们需要在1-2分钟内找到合理的解决方案。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Kharagpur, India, by Ne wsRx correspondents, research stated, “The combinatorial optimization techniques for the aircraft schedule recovery problem are too expensive to compute. Howeve r, we require a reasonable solution within 1-2 min for real -time application.”

Key words

Kharagpur/India/Asia/Cyborgs/Emergin g Technologies/Machine Learning/Indian Institute of Technology (IIT) Kharagpur

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出版年

2024

Robotics & Machine Learning Daily News

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