Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Muzaffarpur, India, by NewsRx journalists, research stated, “The quality and compositionof the comp onents in Self-Compacting Concrete (SCC) determine its compressive strength; how ever,determining these complex relationships through traditional statistical me thods is difficult. This study usesfive state-of-the-art machine learning techn iques, namely, Random Forest (RF), Adaboost, ConvolutionalNeural Network (CNN), K-Nearest Neighbor (KNN), and Bidirectional Long Short-Term Memory (BILSTM),t o simulate the strength properties of high-volume fly ash self-compacting concre te (HVFA-SCC)with silica fume.”
NETL
NSTL