Comparison of Response Surface Methodology and Hybrid-Training Approach of Artificial Neural Network in Modeling the Properties of Concrete Containing Steel Fiber Extracted from Waste Tires

T.F. Awolusi,Oluwaseyi L. Oke,Olufunke O. Akinkurolere,Olumoyewa Dotun Atoyebi

Comparison of Response Surface Methodology and Hybrid-Training Approach of Artificial Neural Network in Modeling the Properties of Concrete Containing Steel Fiber Extracted from Waste Tires

2019

T.F. Awolusi
Oluwaseyi L. Oke
Olufunke O. Akinkurolere
Olumoyewa Dotun Atoyebi

AbstractThe study presents a comparative approach between Response Surface Methodology (RSM) and hybridized Genetic Algorithm of Artificial Neural Network (GA-ANN) in predicting the water absorptio...

Keywords:

Properties of concrete
Artificial neural network
Waste tires
Structural engineering
Flexural strength
Fiber
Response surface methodology
Computer science
steel fibre
Genetic algorithm

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