신경망 기법을 이용한 강섬유 혼입콘크리트의 전단강도 추정 모형 개발
Development of Model of Shear Strength Estimative forSteel Fiber Reinforced Concrete Using Neural Network
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Abstract
This study, the present study wishes to develop a model that estimates shear strength characteristics of steel fiber reinforced concrete using artifical neural network models. Neural network models, developed as mathematical models, are being widely used not only in its original purpose of pattern recognition, but also in application fields by the function's nonlinear learning and interpolar ability. Neural network has a repetitive rotation algorithm that can cyclically and repeatedly estimate system conditions and parameter ideal values, and it can be used in the modeling of the nonlinear system by nonlinear characteristic functions that construct the system.
참고문헌 (7)
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