Prediction of self-compacting concrete strength using artificial neural networks

By Panagiotis G. Asteris, Konstantinos G. Kolovos, Maria G. Douvika, K. Roinos. 2016

182 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/e883bd71d984c8de1a45c3b44ec02de9a4d3d0c7

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In Civil and Structural Engineering

1. Hoang Nguyen
2. Jian Zhou

Citations in the corpus

• A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning (2019, methodology): “In real-life, ANN was studied and applied to solve many problems, such as prediction of self-compacting concrete strength [55], anisotropic masonry failure criterion [56], prediction of the mechanical properties of sandcrete materials [57], blasting issues [58–64], landslide assessment [65–67], to n”