Uncertainty Analysis on Neural Network Based Hydrological Models Using Probabilistic Point Estimate Method
暂无分享,去创建一个
[1] Christina W. Tsai,et al. Evaluation of Probabilistic Point Estimate Methods in Uncertainty Analysis for Environmental Engineering Applications , 2005 .
[2] N. Null. Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .
[3] A. Soldati,et al. River flood forecasting with a neural network model , 1999 .
[4] Yeou-Koung Tung,et al. Uncertainty and reliability analysis , 1995 .
[5] Indrajeet Chaubey,et al. A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models , 2007 .
[6] R Govindaraju,et al. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS , 2000 .
[7] E. Rosenblueth. Point estimates for probability moments. , 1975, Proceedings of the National Academy of Sciences of the United States of America.
[8] K. P. Sudheer,et al. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions , 2010, Environ. Model. Softw..
[9] M. Harr. Probabilistic estimates for multivariate analyses , 1989 .
[10] K. S. Li. Point-Estimate Method for Calculating Statistical Moments , 1992 .
[11] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[12] Chang Che-hao,et al. Evaluation of probability point estimate methods , 1995 .