Analysis of Strength of Concrete Using Design of Experiments and Neural Networks

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A New Method for Predicting the Ingredients of Self-Compacting Concrete (SCC) Including Fly Ash (FA) Using Data Envelopment Analysis (DEA) (2020, methodology): “The efficacy of any parameter on cylindrical compressive strength was investigated [6].”
Machine learning in concrete strength simulations: Multi-nation data analytics (2014, methodology): “Notably, researchers have applied or evaluated the capability of ANNs to predict strength and other concrete behaviors [29,30,32– 34].”
Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN (2009, methodology): “The prediction of fresh and hardened properties of concrete by using ANN is not new [34,35,12].”