Researchers from Sichuan University Describe Findings in Machine Learning (Predi ction of Outflow Temperature of Reservoir Based On Theory-guided Machine Learning Models and Optimization of Operation for Improving Outflow Temperature)

Robotics & Machine Learning Daily News2024，Issue(Oct.22) ：65-66.

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Researchers from Sichuan University Describe Findings in Machine Learning (Predi ction of Outflow Temperature of Reservoir Based On Theory-guided Machine Learning Models and Optimization of Operation for Improving Outflow Temperature)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “The proportion of hydropower within the energy-resource structure is gradually increasing. However, the cons truction of reservoirs inevitably leads to ecological and environmental issues, especially the release of lowtemperature water in summer and its detrimental effects on fish spawning and reproduction.”

Key words

Chengdu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Sichuan University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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