Researchers from Tsinghua University Report New Studies and Findings in the Area of Machine Learning (Performance of Improved Gaussian Extreme Learning Machine for Water Pipeline Leak Recognition)

清华大学的研究人员报告了机器学习领域的新研究和发现(改进高斯极限学习机在水管泄漏识别中的性能)

Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：37-38.

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Researchers from Tsinghua University Report New Studies and Findings in the Area of Machine Learning (Performance of Improved Gaussian Extreme Learning Machine for Water Pipeline Leak Recognition)

清华大学的研究人员报告了机器学习领域的新研究和发现(改进高斯极限学习机在水管泄漏识别中的性能)

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摘要

一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑在一份新的报告中讨论了机器学习的研究结果。根据《中华人民共和国北京外报》的报道，NewsRx编辑的研究表明：“目前，许多机器学习算法已经应用于给水管网(WDN)泄漏事故识别，算法分类精度越高，WDN泄漏事故识别精度越高。”本研究的资金来源包括达州市应用基础研究项目、清华大学水木清华学者项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting out of Beijing, People’s Republi c of China, by NewsRx editors, research stated, “At present, many machineor de ep-learning algorithms have been applied to water distribution network (WDN) lea kage recognition. The higher the algorithm classification accuracy, the higher t he leakage accident recognition accuracy for WDNs.” Financial supporters for this research include Applied Foundation Research Proje ct of Dazhou, ShuiMu Tsinghua Scholar Program of Tsinghua University.

Key words

Beijing/People's Republic of China/Asi a/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua Univer sity

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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