1 |
Ahn, S.J., Yeon, I.S., Han, Y.S., and Lee, J.K. (2001). "Water quality forecasting at Gongju station in Geum River using neural network model." Journal of the Korean Society of Civil Engineers, Vol. 34, No. 5, pp. 701-711.
과학기술학회마을
|
2 |
Cho, Y.J., Yeon, I.S., and Lee, J.K. (2004). "Application of neural network model to the real-time forecasting of water quality." Journal of Korean Society on Water Quality, Vol. 18, No. 4, pp. 321-326.
|
3 |
Karula, C., Soyupaka, S., Cilesizc, A.F., Akbayb, N., and Germenb, E. (2000). "Case studies on the use of neural networks in eutrophication modeling." J. Ecological Modelling, Vol. 134, pp. 145-152.
DOI
ScienceOn
|
4 |
Lee, E.H., and Seo, D.I. (2002). "Water quality modelling of the Keum River-Effect of Yongdam Dam." Journal of Korea Water Resources Association, Vol. 35, No. 5, pp. 525-539.
과학기술학회마을
DOI
ScienceOn
|
5 |
Oh, C.R., Jin, Y.H., Kim, D.R., and Park, S.C. (2008). "Study on development of artificial neural network forecasting model using runoff, water quality data." Journal of Korea Water Resources Association, Vol. 41, No. 10, pp. 1035-1044.
과학기술학회마을
DOI
ScienceOn
|
6 |
Park, S.C., and Ha, S.J. (2003). "Forecasting the water quality of river using GANN." Journal of the Korean Society of Civil Engineers, Vol. 23, No. 6B, pp. 507-514.
과학기술학회마을
|
7 |
Recknagel, F., French, M., Harkonen, P., and Yabunaka, K.I. (1994). "Artificial neural network approach for modeling and prediction of algal blooms." J. Ecological Modelling, Vol. 96, pp. 11-28.
|
8 |
Singh, K.P., Basant, A., Malik, A., and Jain, G. (2009). "Artificial neural network modeling of the river water quality-a case study." J. Ecological Modelling, Vol. 220, pp. 888-895.
DOI
ScienceOn
|
9 |
Wilson, H., Recknagel, F. (2001). "Towards a generic artificial neural network model for dynamic predictions of algal abundance in freshwater lakes." J. Ecological Modelling, Vol. 146, pp. 69-84.
DOI
ScienceOn
|
10 |
Oh, C.R., Park, S.C., Lee, H.M., and Pyo, Y.P. (2002). "A forecasting of water quality in the Youngsan River using neural network." Journal of the Korean Society of Civil Engineers, Vol. 35, No. 5, pp. 525-539.
|