Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China - Li, Bing; Yang, Guishan; Wan, Rongrong; Dai, Xue; Zhang, Yanhui (Hydrology Research, 2016)
Keywords: Accuracy; Aquifers; Artificial intelligence; Artificial neural networks; Carbon; Case studies; Computer simulation; Daily forecasts; Decision making; Decision trees; Discharge; Explicit knowledge; Forecasting; Groundwater; Hydrologic models; Hydrology; Information dissemination; Lake water; lake water level; Lakes; Mathematical models; Mean square values; Methods; Neural networks; poyang lake; Precipitation; random forests; Regression analysis; Resource management; Rivers; Root-mean-square errors; Soft computing; Statistical methods; Statistical prediction; Support vector machines; support vector regression; Sustainable development; Time lag; Time series; Trends; variable importance analysis; Water levels; Water management; Water resources; Water resources management; China; Poyang Lake; Yangtze River