|
|
|
한국건축시공학회 / v.7, no.3, 2007년, pp.131-137 
|
인공신경망 기법을 활용한 굴착공사 흙막이 변위량 예측에 관한 연구
( A Study on Neural Networks Forecast Model of Deep Excavation Wall Movements ) |
| 신한우;김광희;김용석; 목포대학교 건축공학부 건축공학;목포대학교 건축공학부 건축공학;목포대학교 건축공학부 건축공학;
|
|
|
 |
|
| |
| 초 록 |
|
|
| To predict deep excavation wall movements is important in the urban areas considering the cost and the safety in construction. Failing to estimate deep excavation wall movements in advance causes too many problems in the projects. The purpose of this study is to propose the forecast model of deep excavation wall movements using artificial neural networks. The data of the Deep Excavation Wall Movements which were done form Long research is used of Artificial neural networks training and apply the real construction work measured data to the Artificial neural networks model. Applying the artificial neural networks to forecast the deep excavation wall movements can significantly contribute to identifying and preventing the accident in the overall construction work. |
| |
| 키워드 |
| 흙막이 변위량;인공신경망;굴착공사;Retaining Wall Movements;Artificial Neural Networks;deep excavations work; |
| |
|
|
|
|
한국건축시공학회지 / v.7, no.3, 2007년, pp.131-137
한국건축시공학회
ISSN : 1598-2033
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200734515998937)
언어 : 한국어 |
|
| 논문 제공 : KISTI 한국과학기술정보연구원 |
|
|
|
|
|
|
