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Artificial Neural Network Model for Fibre Reinforced Polymer Laminated Reinforced Concrete Beams

Abstract Artificial neural network is a versatile modelling tool capable of making predictions on many fields of study. This paper describes the creation and operation of a generalised regression neural network for making predictions on the ultimate moment, yield moment, ultimate deflection and maximum crack width for a fibre reinforced polymer laminated reinforced concrete beam. The model proposed in this paper can acquire new data and fine tune its performance in the future, with availability of more research results.