首页|Fudan University Reports Findings in Machine Learning (A machine learning model that outperforms conventional global subseasonal forecast models)
Fudan University Reports Findings in Machine Learning (A machine learning model that outperforms conventional global subseasonal forecast models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Skillfulsubseasonal forecasts are crucial for various sectors of society but pose a grand scientifi c challenge.Recently, machine learning-based weather forecasting models outperf orm the most successful numericalweather predictions generated by the European Centre for Medium-Range Weather Forecasts (ECMWF),but have not yet surpassed co nventional models at subseasonal timescales.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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