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A Mixture-Density-Network Based Approach for Finding Rating Curves: Facing Multi-Modality and Unbalanced Data Distribution
- Yoo, Chulsang;
- Park, Jooyoung
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6초록
In this paper, the use of MDNs (Mixture Density Networks) is proposed for deciding rating curves. This method is beneficial especially when a single curve is developed when the relation between stage and discharge exhibits hysteresis. The computational analyses performed for the Han River and Mokkye stations showed that the MDN-based method yields more meaningful results than the conventional least squares approach. Of particular significance was the possible identification of the bi-modal characteristics of rating curves under the proposed method.
키워드
rating curves; neural networks; mixture density networks; multi-layer perceptrons; scaled conjugate gradients algorithms; multi-modality; hysteresis; NEURAL-NETWORK; STAGE; HYSTERESIS
- 제목
- A Mixture-Density-Network Based Approach for Finding Rating Curves: Facing Multi-Modality and Unbalanced Data Distribution
- 저자
- Yoo, Chulsang; Park, Jooyoung
- 발행일
- 2010-03
- 유형
- Article
- 권
- 14
- 호
- 2
- 페이지
- 245 ~ 252