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한국수자원학회 / v.1, no.2, 2000년, pp.129-136 
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( Forecasting Water Levels Of Bocheong River Using Neural Network Model ) |
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| 초 록 |
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| Predicting water levels is a difficult task because a lot of uncertainties are included. Therefore the neural network which is appropriate to such a problem, is introduced. One day ahead forecasting of river stage in the Bocheong River is carried out by using the neural network model. Historical water levels at Snagye gauging point which is located at the downstream of the Bocheong River and average rainfall of the Bocheong River basin are selected as training data sets. With these data sets, the training process has been done by using back propagation algorithm. Then waters levels in 1997 and 1998 are predicted with the trained algorithm. To improve the accuracy, a filtering method is introduced as predicting scheme. It is shown that predicted results are in a good agreement with observed water levels and that a filtering method can overcome the lack of training patterns. |
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| 키워드 |
| prediction of water levels;neural network;back propagation;filtering method; |
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Water Engineering Research / v.1, no.2, 2000년, pp.129-136
한국수자원학회
ISSN : 1229-6503
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200011920062659)
언어 : 영어 |
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| 논문 제공 : KISTI 한국과학기술정보연구원 |
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