首页|Zhejiang University of Technology Reports Findings in Machine Learning (Machine learning-based corrosion rate prediction of steel embedded in soil)
Zhejiang University of Technology Reports Findings in Machine Learning (Machine learning-based corrosion rate prediction of steel embedded in soil)
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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 newsreporting originating in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Predicting the corrosion rate for soil-buried steel is significant for assessing the service-li fe performance ofstructures in soil environments. However, due to the large amo unt of variables involved, existing corrosionprediction models have limited acc uracy for complex soil environment.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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