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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 1995.10
- 수록면
- 505 - 509 (6page)
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초록· 키워드
오류제보하기
An artificial neural network is a computational model that mimics the
biological system of the brain, consists of a number of interconnected
processing units, and is able to infer reasonably by them. Because the
neural network is particularly useful for evaluating systems with a
multitude of nonlinear variables, it could be introduced into the
prediction of experimental results, the structural planning and the
optimum design in the structural engineering.
This paper describes the basic theory related to the neural networks
and discusses the applicable feasibility of neural networks to predict
the ultimate shear capacity of the precast concrete vertical joints by
comparing the neural networks with conventional method such as regression.
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