Prediction of compressive strength of concrete by neural networks

By Hong-Guang Ni, Ji-Zong Wang. 2000

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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.

The use of GA-ANNs in the modelling of compressive strength of cement mortar (2003, background): “Its use for concrete strength prediction was previously studied [1], but the use of genetic algorithms (GAs)–ANNs for prediction of the strength of cement mortar has not yet been reported.”
Efficient machine learning models for prediction of concrete strengths (2021, background): “Ni and Wang proposed a multilayer feedforward neural networks to predict 35 the compressive strength of concrete [6].”
Machine learning in concrete strength simulations: Multi-nation data analytics (2014, methodology): “Ni and Wang, for instance, used multi-layer feed-forward neural networks to predict 28-day CCS based on various factors [32].”
Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks (2013, background): “Its application might be extended to almost all areas [10,28].”