Findings from School of Resources & Safety Engineering Provides Ne w Data about Support Vector Machines (Prediction of Concrete Compressive Strengt h Using Support Vector Machine Regression and Non-destructive Testing)
Findings from School of Resources & Safety Engineering Provides Ne w Data about Support Vector Machines (Prediction of Concrete Compressive Strengt h Using Support Vector Machine Regression and Non-destructive Testing)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Support Vector Machine s is the subject of a report. Accordingto news reporting originating in Changsh a, People’s Republic of China, by NewsRx journalists, researchstated, “Performa nce assessment of existing building structures, especially concrete compressive strengthassessment, is a crucial aspect of engineering construction for most in dustrialized countries. Nondestructivetesting (NDT) techniques are commonly emp loyed to assess the compressive strength of concretestructures.”
Key words
Changsha/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines/V ector Machines/School of Resources & Safety Engineering
NETL
NSTL