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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.3
- 수록면
- 49 - 53 (5page)
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초록· 키워드
오류제보하기
“Hahoe Village” in Andong region is an UNESCO World Heritage Site. It should be protected against various disasters such as fire, flooding, earthquake, etc. Among these disasters, flooding has drastic impact on the lives and properties in a wide area. Since “Hahoe Village” is adjacent to Nakdong River, it is important to monitor the water level near the village. In this paper, we developed a hydrological modelling using multi-layer perceptron (MLP) to predict the water level of Nakdong River near “Hahoe Village”. To develop the prediction model, error back-propagation (EBP) algorithm was used to train the MLP with water level data near the village and rainfall data at the upper reaches of the village. After training with data in 2012 and 2013, we verified the prediction performance of MLP with untrained data in 2014.
목차
ABSTRACT
1. INTRODUCTION
2. MULTI-LAYER PERCEPTRON AND ERROR BACK-PROPAGATION ALGORIHTM
3. HYDROLOGICAL MODELLING IN ANDONG REGION
4. CONCLUSIONS
REFERENCES
참고문헌 (14)
참고문헌 신청
[학술지(정기간행물)] - 노황우 / 2014 / Concepts of Disaster Prevention Design for Safety in the Future Society / International Journal of Contents 10 (1) : 54 ~ 61
[학술지(정기간행물)] - H. L. Cloke / 2009 / Ensemble flood forecasting: A review / Journal of Hydrology 375 : 613 ~ 626
[학술지(정기간행물)] - K. Hornik / 1989 / Multilayer Feed-forward Networks are Universal Approximators / Neural Networks 2 : 359 ~ 366
[학술지(정기간행물)] - K. Hornik / 1991 / Approximation Capabilities of Multilayer Feedforward Networks / Neural Networks 4 : 251 ~ 257
[학술지(정기간행물)] - S. Suzuki / 1998 / Constructive Function Approximation by Three-Layer Artificial Neural Networks / Neural Networks 11 : 1049 ~ 1058
[학술지(정기간행물)] - H. L. Cloke / 2009 / Ensemble flood forecasting: A review / Journal of Hydrology 375 : 613 ~ 626
[학술지(정기간행물)] - K. Hornik / 1989 / Multilayer Feed-forward Networks are Universal Approximators / Neural Networks 2 : 359 ~ 366
[학술지(정기간행물)] - K. Hornik / 1991 / Approximation Capabilities of Multilayer Feedforward Networks / Neural Networks 4 : 251 ~ 257
[학술지(정기간행물)] - S. Suzuki / 1998 / Constructive Function Approximation by Three-Layer Artificial Neural Networks / Neural Networks 11 : 1049 ~ 1058
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