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NTIS 바로가기Computers & concrete, v.11 no.3, 2013년, pp.237 - 252
Mohammadhassani, Mohammad (Department of Civil Engineering, University of Malaya) , Nezamabadi-pour, Hossein (Department of Electrical Engineering, Shahid Bahonar University of Kerman-Iran) , Jumaat, Mohd Zamin (Department of Civil Engineering, University of Malaya) , Jameel, Mohammed (Department of Civil Engineering, University of Malaya) , Arumugam, Arul M.S. (Department of Civil Engineering, University of Malaya)
This paper presents the application of artificial neural network (ANN) to predict deep beam deflection using experimental data from eight high-strength-self-compacting-concrete (HSSCC) deep beams. The optimized network architecture was ten input parameters, two hidden layers, and one output. The fee...
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