Journal article
A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
DK Bui, T Nguyen, JS Chou, H Nguyen-Xuan, TD Ngo
Construction and Building Materials | ELSEVIER SCI LTD | Published : 2018
Abstract
The compressive and tensile strength of high-performance concrete (HPC) is a highly nonlinear function of its constituents. The significance of expert frameworks for predicting the compressive and tensile strength of HPC is greatly distinguished in material technology. This study aims to develop an expert system based on the artificial neural network (ANN) model in association with a modified firefly algorithm (MFA). The ANN model is constructed from experimental data while MFA is used to optimize a set of initial weights and biases of ANN to improve the accuracy of this artificial intelligence technique. The accuracy of the proposed expert system is validated by comparing obtained results w..
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Funding Acknowledgements
The first author would like to thank the University of Melbourne for offering the Melbourne Research Scholarship. This work was also supported by The ARC Training Centre for Advanced Manufacturing of Prefabricated Housing (CAMP.H) at the University of Melbourne.