首页|Researchers at Shandong Jianzhu University Have Reported New Data on Machine Lea rning (Explainable Machine Learning-based Prediction Model for Dynamic Resilient Modulus of Subgrade Soils)
Researchers at Shandong Jianzhu University Have Reported New Data on Machine Lea rning (Explainable Machine Learning-based Prediction Model for Dynamic Resilient Modulus of Subgrade Soils)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Jinan, People’s Republic of C hina, by NewsRx correspondents, research stated, “The dynamic resilientmodulus (MR) of a subgrade soil is a fundamental parameter for evaluating the dynamic st ability andservice resilience of subgrade fillers and structures, as well as an instrumental input for calculating themechanical response and fatigue life of a pavement structure. To accurately and reasonably characterisethe MR of subgra de soils, machine learning (ML) models were established using the support vector machine,random forest, and extreme gradient boosting algorithms based on a lar ge-scale dataset including 3533records of MR tests conducted on subgrade soils. ”
JinanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShandong Jianzhu University
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