한국건축시공학회:학술대회논문집 (Proceedings of the Korean Institute of Building Construction Conference)
- 한국건축시공학회 2012년도 추계 학술논문 발표대회
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- Pages.253-254
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- 2012
신경망을 이용한 고강도 콘크리트 배합설계모델에 관한 연구
A Study on Mix Design Model of High Strength Concrete using Neural Networks
- 발행 : 2012.11.16
초록
The purpose of this study is to suggest and verify high-strength concrete mix design model applying neural network theory, in order to minimize effort and time wasted by using trial and error method utill now. There are 7 input and 2 output to predict mix design. 40 data of mix design were learned with back-propagation algorithm. Then they are repeatedly learned back-propagation in neural network theory. Also, to verify predicted model, we analyzed and compared value predicted from 60MPa mix design with value measured by actual compressive strength test.
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