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조해창 ( Cho Hae-chang ),갈경완 ( Karl Kyoung-wan ),이득행 ( Lee Deuck-hang ),김강수 ( Kim Kang-su ),임주혁 ( Im Ju-hyeik ) 한국구조물진단유지관리공학회 2010 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.14 No.1
In the engineering field, intelligence information processing system have been used to analyse the problem related uncertainty i.e. fussy, neural network, genetic algorithm, genetic programming recently. These method can be applied to predict shear strength of plain concrete, in the structural engineering field, because the previous prediction equations for plain concrete shear strength is based on experiments so they contain uncertainty. In this paper, therefore, Adaptive Neuro-Fuzzy Inference System(ANFIS) which is based on Sugeno Fuzzy model was used to predict shear strength of plain concrete by using 365 previous test results. As test results, ANFIS provided more accurate results than ACI equation for shear strength of plain concrete.