New Machine Learning Study Findings Have Been Reported by Investigators at Cardi ff Metropolitan University (Exploring the Interrelationships Between Composition , Rheology, and Compressive Strength of Self-compacting Concrete: an Exploration of ...)
New Machine Learning Study Findings Have Been Reported by Investigators at Cardi ff Metropolitan University (Exploring the Interrelationships Between Composition , Rheology, and Compressive Strength of Self-compacting Concrete: an Exploration of ...)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Cardiff, United Kingdom, by NewsR x journalists, research stated, “This study introduces a novel methodology for e nhancing the compressive strength of selfcompacting concrete (SCC) via the use o f the Explainable Boosting Machine (EBM), a sophisticated and interpretable mach ine learning algorithm. It presents a data -driven model that aims to accurately predict the strength of SCC by considering the intricate interactions among its various elements.”
NETL
NSTL