참고문헌
- Law, R., 2000, Back-propagation learning in improving the accuracy of neural network based tourism demand forecasting, Tourism Management 21, 331-340 https://doi.org/10.1016/S0261-5177(99)00067-9
- Kolehmainen, M., H. Martikainen and J. Ruuskanen, 2001, Neura1 networks and periodic components used in air quality forecasting, Atmospheric Environment, 35, 815-82 https://doi.org/10.1016/S1352-2310(00)00385-X
- Maier, H. R., G. C. Dandy, and M. D. Burch, 1998, Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia, Ecological Modelling, 105, 257-272 https://doi.org/10.1016/S0304-3800(97)00161-0
- Luk, K. C., J. E. Ball, and A. Sharma, 2000, A study of optimal model lag and spatial input to artificial neural network for rainfall forecasting, Journal of Hydrology, 227, 56-65 https://doi.org/10.1016/S0022-1694(99)00165-1
- See, L. and R. J. Abrahart, 2001, Multi-model data fusion for hydrological forecasting, Computer & Geosciences, 27, 987-994 https://doi.org/10.1016/S0098-3004(00)00136-9
- Hwarng, H. B. and H. T. Ang, 2001, A simple neural network for ARMA(p, q) time series, The International Journal of Management Science, 29, 319-333
- Skapura, D. M., 1996, Building Neural Networks, Addison Wesley, 1-5
- 김대수, 1999, 신경망이론과 응용(I), 하이테크정보 92pp
- 환경부, 1991-2000, 환경연감
- http://www.me.go.kr/www/index.htrru
- Kung, 1993, Digital Neural Networks, Prentice Hall International Inc, 30-33 pp
- Balkin, S. D. and J. K. Ord, 2000, Automatic neural network modelling for univariate time series, International Journal of Forecasting, 16, 509-515 https://doi.org/10.1016/S0169-2070(00)00072-8
- 환경부, 1995, 수역 수질관리를 위한 수질예측 모형과 의사결정 지원시스템 개발에 관한 연구,84pp.