首页|Researchers at Grenoble Alpes University Have Reported New Data on Machine Learn ing (Towards Lightweight Excavation: Machine Learning Exploration of Rock Size D istribution Prediction After Tunnel Blasting)
Researchers at Grenoble Alpes University Have Reported New Data on Machine Learn ing (Towards Lightweight Excavation: Machine Learning Exploration of Rock Size D istribution Prediction After Tunnel Blasting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Grenoble, France, by NewsRx editor s, research stated, “Advanced and accurate prediction of rock fragmentation dist ribution can reduce the secondary crushing work, the cost of manual equipment an d increase efficiency, thereby enabling tunnel excavation towards lightweighting . To that end, a novel hybrid random forest (RF) model optimized by atomic orbit al search (AOS) with Logistic mapping (LM), i.e., LMAOS-RF, was proposed to pred ict rock size distribution.” Funders for this research include National Natural Science Foundation of China ( NSFC), Distinguished Youth Sci- ence Foundation of Hunan Province of China, Chin a Scholarship Council.
GrenobleFranceEuropeCyborgsEmerg ing TechnologiesMachine LearningSupport Vector RegressionGrenoble Alpes Un iversity
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