Machine Learning Approaches to Concrete Strength Prediction combines traditional engineering with modern data science, reshaping how we predict concrete strength. Focusing on concrete mixes that use sand, manufactured sand (M-sand), and laterite soil as fine aggregates, this book provides a practical guide to machine learning techniques like Linear Regression, Decision Trees, Random Forest, Support Vector Regression, and Gradient Boosting. With clear explanations and a real-world case study, it equips readers with the knowledge to apply data-driven approaches in construction.
| Author: Altamashuddin Khan Nadeemallah |
| Publisher: LAP Lambert Academic Publishing |
| Publication Date: Nov 19, 2024 |
| Number of Pages: 64 pages |
| Binding: Paperback or Softback |
| ISBN-10: 3659949310 |
| ISBN-13: 9783659949319 |