Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
暂无分享,去创建一个
[1] B. D. Ripley,et al. [Neural Networks: A Review from Statistical Perspective]: Comment , 1994 .
[2] W. L. Lane,et al. Applied Modeling of Hydrologic Time Series , 1997 .
[3] J. David Fuller,et al. Backpropagation in Hydrological Time Series Forecasting , 1994 .
[4] Kishan G. Mehrotra,et al. Forecasting the behavior of multivariate time series using neural networks , 1992, Neural Networks.
[5] J. ...,et al. Applied modeling of hydrologic time series , 1980 .
[6] Jukka Saarinen,et al. A network of autoregressive processing units for time series modeling , 1996 .
[7] Holger R. Maier,et al. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications , 2000, Environ. Model. Softw..
[8] Jose D. Salas,et al. APPROACHES TO MULTIVARIATE MODELING OF WATER RESOURCES TIME SERIES1 , 1985 .
[9] N. Null. Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .
[10] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[11] D. M. Titterington,et al. [Neural Networks: A Review from Statistical Perspective]: Rejoinder , 1994 .
[12] Thomas Kolarik,et al. Time series forecasting using neural networks , 1994, APL '94.
[13] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[14] Kuolin Hsu,et al. Effective and Efficient Modeling for Streamflow Forecasting , 2000 .
[15] Jose D. Salas,et al. Streamflow Forecasting Based on Artificial Neural Networks , 2000 .
[16] Hal S. Stern,et al. Neural networks in applied statistics , 1996 .
[17] Jose D. Salas,et al. Periodic Gamma Autoregressive Processes for Operational Hydrology , 1986 .
[18] Joaquín Andreu,et al. AQUATOOL, a generalized decision-support system for water-resources planning and operational management , 1996 .
[19] Donald R. Kendall,et al. A comparison of index-sequential and AR(1) generated hydrologic sequences , 1991 .
[20] I. Rodríguez‐Iturbe,et al. Random Functions and Hydrology , 1984 .
[21] Makarand Deo,et al. Real Time Forecasting Using Neural Networks , 2000 .
[22] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[23] J. Stedinger,et al. Water resource systems planning and analysis , 1981 .
[24] Sevket Durucan,et al. River flow prediction using artificial neural networks: generalisation beyond the calibration range. , 2000 .
[25] Jery R. Stedinger,et al. Synthetic streamflow generation: 1. Model verification and validation , 1982 .
[26] H. Raman,et al. Multivariate modelling of water resources time series using artificial neural networks , 1995 .
[27] B. B. Jackson. The use of streamflow models in planning , 1975 .
[28] Paul A. Fishwick,et al. Time series forecasting using neural networks vs. Box- Jenkins methodology , 1991, Simul..
[29] Slobodan P. Simonovic,et al. Short term streamflow forecasting using artificial neural networks , 1998 .
[30] Rao S. Govindaraju,et al. COMPARISON OF ANNS AND EMPIRICAL APPROACHES FOR PREDICTING WATERSHED RUNOFF , 2000 .
[31] Demetris Koutsoyiannis. A generalized mathematical framework for stochastic simulation and forecast of hydrologic time series , 2000 .