Backpropagation Neural Network – Based Prediction of Crack Depth in Fly-Ash Geopolymer Concrete with Akaike and Bayesian Information Criterion

Author:

Villaverde Brainard Almar N.1,Silva Dante L.2,Villaverde Bernard S.2

Affiliation:

1. School of Graduate Studies, Mapúa University,Manila City,Philippines

2. School of Civil, Environmental, and Geological Engineering, Mapúa University,Manila City,Philippines

Publisher

IEEE

Reference31 articles.

1. Global Cement Production 1995–2020;Garside;Chem. Res.,2021

2. Climate change: The massive Co2 emitter you may not know about;Rodgers;BBC News,2018

3. Design Initiative Implementation Framework: A Model Integrating Kolmogorov-Smirnov in Sustainable Practices for Triple-Bottom-Line Principles in Construction Industry

4. Silvas management competency theory: a factor-item analytic approach utilizing oblique rotation direct oblimin method under Kaiser-Bartletts test of sphericity;Silva,2014

5. Low-Calcium, Fly-Ash-Based Geopolymer Concrete

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