Predicting high-performance concrete compressive strength using features constructed by Kaizen Programming
The compressive strength of high-performance concrete (HPC) can be predicted by a nonlinear function of the proportions of its components. However, HPC is a complex material, and finding that nonlinear function is not trivial. Many distinct techniques such as traditional statistical regression methods and machine learning methods have been used to solve this task, reaching
Vinícius Veloso de Melo is an Assistant Professor of Computer Science at