Robotics & Machine Learning Daily News2024,Issue(Nov.7) :17-18.

Studies from Tianjin University Provide New Data on Machine Learning (Efficient Productivity-Aware Control Parameter Optimization in Cutter Suction Dredger Cons truction Using Machine Learning with Parallel Global Search)

Robotics & Machine Learning Daily News2024,Issue(Nov.7) :17-18.

Studies from Tianjin University Provide New Data on Machine Learning (Efficient Productivity-Aware Control Parameter Optimization in Cutter Suction Dredger Cons truction Using Machine Learning with Parallel Global Search)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Tianjin, People’s Re public of China, by NewsRx correspondents, research stated, “This paper proposes an efficient productivity-aware optimization framework that utilizes hybrid mac hine learning with parallel global search to timely and appropriately adjust the critical control parameters (CCPs) of a cutter suction dredger (CSD) during con struction.”

Key words

Tianjin University/Tianjin/People’s Re public of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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