首页|New Machine Learning Findings from Chulalongkorn University Described (Hybrid Ma chine Learning With Moth-flame Optimization Methods for Strength Prediction of C fdst Columns Under Compression)
New Machine Learning Findings from Chulalongkorn University Described (Hybrid Ma chine Learning With Moth-flame Optimization Methods for Strength Prediction of C fdst Columns Under Compression)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Bangkok, Thailand, b y NewsRx correspondents, research stated, “This paper presents anovel technique that combines machine learning (ML) with moth -flame optimization (MFO) methods topredict the axial compressive strength (ACS) of concrete filled double skin steel tubes (CFDST) columns.The proposed model is trained and tested with a dat aset containing 125 tests of the CFDST columnsubjected to compressive loading.”
BangkokThailandAsiaCyborgsEmergi ng TechnologiesMachine LearningChulalongkorn University
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