Robotics & Machine Learning Daily News2024,Issue(Aug.9) :77-77.

Fudan University Reports Findings in Machine Learning (A machine learning model that outperforms conventional global subseasonal forecast models)

Robotics & Machine Learning Daily News2024,Issue(Aug.9) :77-77.

Fudan University Reports Findings in Machine Learning (A machine learning model that outperforms conventional global subseasonal forecast models)

扫码查看

Abstract

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.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文