Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression
Authors:
- 30 July 2020
- journal article
- research article
- Published by Springer Nature in Neural Computing and Applications
- Vol. 33 (8) , 3621-3635
Abstract
No abstract availableKeywords
Funding Information
- China Scholarship Council (201706460008)
This publication has 53 references indexed in Scilit:
- Variable selection using random forestsPattern Recognition Letters, 2010
- Prediction of elastic modulus of normal and high strength concrete by support vector machineConstruction and Building Materials, 2010
- Search researchNature, 2006
- Bolstered error estimationPattern Recognition, 2004
- Is cross-validation better than resubstitution for ranking genes?Bioinformatics, 2004
- Asymptotic Behaviors of Support Vector Machines with Gaussian KernelNeural Computation, 2003
- Retrofitting of shear failed reinforced concrete beamsComposite Structures, 2003
- Rehabilitation of rectangular simply supported RC beams with shear deficiencies using CFRP compositesConstruction and Building Materials, 2002
- Combined experimental-numerical approach to characterization of steel-glue-concrete interfaceMaterials and Structures, 1995
- Applied Logistic RegressionTechnometrics, 1992