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Machine Learning Applications in Concrete Strength Prediction

Machine Learning Applications in Concrete Strength Prediction

Paperback

Technology & Engineering

ISBN10: 3659949310
ISBN13: 9783659949319
Publisher: LAP Lambert Academic Publishing
Published: Nov 19 2024
Pages: 64
Weight: 0.23
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
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.

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Technology & Engineering