Middle and Long-Term Runoff Probabilistic Forecasting Based on Gaussian Mixture Regression

This publication has 18 references indexed in Scilit:

• Hierarchical Flood Operation Rules Optimization Using Multi-Objective Cultured Evolutionary Algorithm Based on Decomposition
  Water Resources Management, 2018
• Runoff forecast uncertainty considered load adjustment model of cascade hydropower stations and its application
  Energy, 2018
• Extending the Cascaded Gaussian Mixture Regression Framework for Cross-Speaker Acoustic-Articulatory Mapping
  IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017
• Improved Gaussian Mixture Regression Based on Pseudo Feature Generation Using Bootstrap in Blood Pressure Estimation
  IEEE Transactions on Industrial Informatics, 2015
• Monthly streamflow prediction using modified EMD-based support vector machine
  Journal of Hydrology, 2014
• Learning and Reproduction of Gestures by Imitation
  IEEE Robotics & Automation Magazine, 2010
• Verification tools for probabilistic forecasts of continuous hydrological variables
  Hydrology and Earth System Sciences, 2007
• Application of Generalized Regression Neural Networks to Intermittent Flow Forecasting and Estimation
  Journal of Hydrologic Engineering, 2005
• Model Induction with Support Vector Machines: Introduction and Applications
  Journal of Computing in Civil Engineering, 2001
• SHORT‐TERM FORECASTING OF SNOWMELT RUNOFF USING ARMAX MODELS¹
  Jawra Journal of the American Water Resources Association, 1988