1 |
Yu, P. S., Chen C. J., Chen S. J., and Lin S. C.(2001). Application of grey model toward runoff forecasting, J. The American Water Resources Association, Vol. 37, No. 1, pp. 151-166
DOI
ScienceOn
|
2 |
Yapo, P., Sorooshian S., and Gupta V. (1993). A Markov-chain flow model for forecasting, Water Resour. Res., Vol. 29, No. 7, pp. 2427-2436
DOI
ScienceOn
|
3 |
Laio F., Porporato A., Revelli R., and Ridolfi L. (2003). 'A comparison of nonlinear flood forecasting methods, Water Resour. Res., Vol. 39, No. 5, pp. 21 -24
DOI
|
4 |
Lee R. H. and Wang R. Y. (1998). Parameter estimation with colored noise effect for differential hydrological grey model, J. Hydrol., pp. 1-15
DOI
ScienceOn
|
5 |
Kim, G. S. and Lee J. S. (2002). Flash flood forecasting using remotely sensed information and neural networks part II: Model application, Water Eng. Res., Vol.3, No.2, pp. 123-134
과학기술학회마을
|
6 |
Pan L. and Wu L. (1998). A hybrid global optimization method for inverse estimation of hydraulic parameters : Annealing-simplex method, Water Resour. Res., Vol. 34, No. 9, 2261-2269
DOI
ScienceOn
|
7 |
Imrie, C. E., Durucan S., and Korre A. (2000). River flow using artificial neural networks: Generalization beyond the calibration range, J. Hydrol., Vol. 233, pp. 138-153
DOI
ScienceOn
|
8 |
Kang, M. S. and Park S. W. (2003). Short-term flood forecasting using artificial neural networks, J. The Korea Society of Agricultural Engineers, No. 45, Vol. 2, pp. 45-57. (In Korean)
과학기술학회마을
|
9 |
Campolo, M., Andreussi P., and Soldati A. (1999). River flood forecasting with a neural network model, Water Resour. Res., Vol.35, No. 4, pp. 1191-1197
DOI
ScienceOn
|
10 |
Hsu, L. C. (2003). Applying the grey prediction model to the global integrated circuit Industry, Technological Forecasting and Social Change, Vol. 70, pp. 563-574
DOI
ScienceOn
|
11 |
Chun B. H. (2004). Evaluation of disaster risk of storms and measures to prevent them, International Symposium on Living with Risk: Dealing with Typhoon-related Disaster as part of Integrated Water Resources Management, pp. 10-23
|
12 |
심순보, 김만식 (1999). 유입량 예측을 위한 신경망 모형과 저류함수 모형의 비교연구, 대한토목학회 논문집, 제 19권, 제 II-1호, pp. 79-90
|
13 |
Deng, J. (1989). Introduction to grey system theory, J. Grey System. Vol. 1, No. 1, pp. 1-24
|
14 |
Deng, J. (1982). Control problems of grey systems, Systems and Control Letters, Vol.5, pp. 1-24
|
15 |
김성원, 호세 살라스 (2000). 하천수위표 지점에서 신경망기법을 이용한 홍수위의 예측, 한국수자원학회논문집, 제 33권, 제 2호, pp. 247-262
|
16 |
이재응, 정재욱, 윤세의 (2001). 영산강 유역의 홍수피해 분석, 2001년 대한토목학회 정기 학술발표회 논문집
|
17 |
Yu, P. S., Chen C. J., and Chen S. J. (2000). Application of gray and fuzzy methods for rainfall forecasting, J. Hydrol. Eng., Vol. 5, No. 4, pp. 339-345
DOI
ScienceOn
|
18 |
강민구, 박승우, 임상준, 김현준 (2002). 전역최적화 기법을 이용한 강우-유출모형의 매개변수 자동보정, 한국수자원학회 논문집, 제 35권, 제 5호, pp. 541-552
과학기술학회마을
DOI
ScienceOn
|
19 |
Xia J. (1989). Research and application of grey system theory to hydrology, J. Grey System, Vol. 1, pp. 43-52
|
20 |
Zhang, B. and Govindaraju R. S. (2000). Prediction of watershed runoff using Bayesian concepts and modular neural networks, Water Resour. Res., Vol. 36, No. 3, pp. 753-762
DOI
ScienceOn
|