Experimental research and artificial neural network based prediction model on compressive strength of hardened cement pastes containing fly ash and silica fume at high temperatures

This study constructed two predictive models using artificial neural networks to forecast the compressive strength based on input parameters including data on fly ash, silica fume and temperature (1); to predict the contents of fly ash and silica fume based on input parameters of compressive strength and working temperature (2).