LAP Lambert Academic Publishing ( 2024-11-19 )
€ 43,90
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.
Book Details: |
|
ISBN-13: |
978-3-659-94931-9 |
ISBN-10: |
3659949310 |
EAN: |
9783659949319 |
Book language: |
English |
By (author) : |
Altamashuddin Khan Nadeemallah |
Number of pages: |
64 |
Published on: |
2024-11-19 |
Category: |
Building and environmental technology |