Data is private and belongs to ETS and uWaterloo Concrete Teams. Contact if you wish to request access.

Simple neural network based on the University of California Irving Concrete dataset to predict concrete compressive strength.

Stacked Auto-Encoder based on the ETS ultra light-weight concrete dataset. Used as a sparse recommendation system.

Implement more complex models in Keras

Ouellet, J., Martel, J. L., Ouellet-Plamondon, C., & Carter, A. (2016). Predicting the compressive strength of ultralightweight concrete by an artificial neural network.

ETS Concrete Canoe Team for data.