首页|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)
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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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.”
Central Iron & Steel Research InstituteBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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