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Empirical Formulation of Ferrocement Members Moment Capacity Using Artificial Neural Networks
Journal of Soft Computing in Civil Engineering
In the two past decades, ferrocement members have been with a wide variety of uses in structural applications because of their unique physical properties (high surface-area-to-volume ratio and possible fabrication in any shape). In this study, two models were presented for a predict of the moment capacity of ferrocement members, one based on a back-propagation multilayer perceptron artificial neural network and the other proposing a new equation based on the multilayer perceptron networkdoi:10.22115/scce.2020.221268.1181 doaj:4528066c786e47cda6aea6010b0f8107 fatcat:klqmjnd7r5hydoqldzl7uy5mjq