首页|New Findings Reported from Southeast University Describe Advances in Machine Lea rning (Investigation On Compressive Strength of Coral Aggregate Concrete: Hybrid Machine Learning Models and Experimental Validation)
New Findings Reported from Southeast University Describe Advances in Machine Lea rning (Investigation On Compressive Strength of Coral Aggregate Concrete: Hybrid Machine Learning Models and Experimental Validation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news originating from Nanjing, People's Republic of China, by NewsRx correspondents, research stated, "The compressive strength of coral aggregate concrete (CAC-CS) holds importance in structural engineering and architectural design. Thus, this study establishes machine learning models for the prediction of CAC-CS and assesses their accuracy and generalization capabili ty." Financial supporters for this research include Natural Science Foundation of Sic huan Province, National Natural Science Foundation of China (NSFC).
NanjingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSoutheast University
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