Hybrid Least Square Support Vector Machine Model for Predicting Flexural Performance of Heavyweight Concrete made with Metakaolin and Granite Industry Waste
Abstract
Developed hybrid least square support vector machine models optimized with PSO, HHO, and genetic algorithms using combined experimental and literature datasets, with the LSSVM–GA model achieving the highest prediction accuracy.
Fields of Study & Subjects
Innovative concrete reinforcement materials
Concrete and Cement Materials Research
Recycled Aggregate Concrete Performance
Publication details
- Journal / source
- Engineered Science
- Publisher
- Engineered Science Publisher
- Publication date
- 1 January 2026
- Language
- EN