首页|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)
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)
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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.
BeijingPeople's Republic of ChinaAsi aAlgorithmsCyborgsEmerging TechnologiesMachine LearningTsinghua Univer sity
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