Testing various models to find best predictor of concrete compressive strength.
This project was inspired by playing with and building with concrete materials. I found a dataset on UCI Machine Learning Respository that happened to match with my recent creative interests. In this project, the plan is to explore various models in order to develop a working model that is best able to predict concrete compressive strength given input parameters about the material based on composition from various components.
Please note: this work is still in progress
References:
I-Cheng Yeh, "Modeling of strength of high performance concrete using artificial neural networks," Cement and Concrete Research, Vol. 28, No. 12, pp. 1797-1808 (1998). Dateset found on UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/concrete+compressive+strength