한국산업융합학회 논문집 (Journal of the Korean Society of Industry Convergence)
- 제5권2호
- /
- Pages.103-110
- /
- 2002
- /
- 1226-833X(pISSN)
- /
- 2765-5415(eISSN)
신경망을 이용한 콘크리트의 압축강도 및 슬럼프값 추정
The Prediction of Compressive Strength and Slump Value of Concrete Using Neural Networks
- Choi, Young-Wha (Dept. of Construction & Environmental Engineering, Taegu University) ;
- Kim, Jong-In (Dept. of Construction & Environmental Engineering, Taegu University) ;
- Kim, In-Soo (Dept. of Civil Engineering, Andong Institute of Information Technology)
- 투고 : 2001.07.25
- 심사 : 2002.04.20
- 발행 : 2002.05.31
초록
An artificial neural network is applied to the prediction of compressive strength, slump value of concrete. Standard mixed tables arc trained and estimated, and the results are compared with those of experiments. To consider the varieties of material properties, the standard mixed tables of two companies of Ready Mixed Concrete are used. And they are trained with the neural network. In this paper, standard back propagation network is used. For the arrangement on the approval of prediction of compressive strength and slump value, the standard compressive strength of 210,
키워드