首页|New Machine Learning Data Have Been Reported by Researchers at Tianjin Normal Un iversity [Insight Into Glaciohydrologicalprocesses Using Exp lainable Machine-learning (Xai) Models]
New Machine Learning Data Have Been Reported by Researchers at Tianjin Normal Un iversity [Insight Into Glaciohydrologicalprocesses Using Exp lainable Machine-learning (Xai) Models]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Tianjin, People’s Republic o f China, by NewsRx editors, research stated, “The glacio-hydrological process is essential in the global water cycle but is complex and poorly understood. In th is study, we couple the deep Shapley additive explanation (SHAP) with a long sho rt-term memory (LSTM) model to construct a machine-learning (XAI) framework that describes the glacio-hydrological process in Urumqi Glacier No. 1, China.”Funders for this research include National Natural Science Foundation of China ( NSFC), Tianjin Normal University Research Innovation Project for Postgraduate gr ant, Second Qinghai-Tibet Scientific Expedition Program, Third Xinjiang Scientif ic Expedition Program.
TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningTianjin Normal University
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