Study Results from Changsha University of Science and Technology Broaden Underst anding of Support Vector Machines (Strength Prediction of Asphalt Mixture Under Interactive Conditions Based On Bpnn and Svm)
Study Results from Changsha University of Science and Technology Broaden Underst anding of Support Vector Machines (Strength Prediction of Asphalt Mixture Under Interactive Conditions Based On Bpnn and Svm)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Support Vector Machines. Accordingto news reporting originating fro m Hunan, People’s Republic of China, by NewsRx correspondents, researchstated, “Predicting the strength of asphalt mixtures with different specifications under various conditionswas a highly challenging task. The standard strength test la cked consideration of multiple factors, resultingin an inability to accurately characterize the properties of the pavement.”
Key words
Hunan/People’s Republic of China/Asia/Machine Learning/Support Vector Machines/Changsha University of Science and T echnology
NETL
NSTL