Robotics & Machine Learning Daily News2024,Issue(Oct.28) :16-17.

Researchers at Central Iron & Steel Research Institute Release New Data on Machine Learning (Key parameters of soil corrosivity and a model for pr edicting the corrosion rate of Q235 steel in Beijing)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :16-17.

Researchers at Central Iron & Steel Research Institute Release New Data on Machine Learning (Key parameters of soil corrosivity and a model for pr edicting the corrosion rate of Q235 steel in Beijing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial Intelligence have been presented. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Soil samples were excavated from 101 geographical locations in Beijing and transported back to a laboratory . The samples were tested for nine physical and chemical parameters, and the dis tribution ranges of the soil parameters were obtained. The soil in Beijing is mainly loam, involving clay and sand, with the pH being mainly neutral or weakly a lkaline; its chloride content is low.”

Key words

Central Iron & Steel Research Institute/Beijing/People’s Republic 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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