Concrete Compressive Strength Prediction Using Machine learning and Deep Learning Techniques.

XgBoost and Deep Neural Networks were employed to predict the compressive strength of concrete from it constituents.

The following components were the concrete contituents:

• Cement
• Blast Furnace Slag
• Fly Ash
• Water
• Superplasticizer
• Coarse Aggregate
• Fine Aggregate

water cement ratio was added to the features.