摘要
Abstract
As the important basis for disaster prevention and alleviation, water resources optimization and hydropow-er station operation, medium-long term forecast is the focus and difficulty of hydrological work. In order to study the applicability of different mathematical models, artificial neural network, nearest neighbor bootstrapping regression and linear regression were selected to simulate the monthly runoff of Manwan reservoir. The simulated runoff out of three models were compared, based on which the NNBR model with relatively higher simulation accuracy was adopt-ed to constitute the monthly runoff forecasting program of Manwan Reservoir.关键词
径流中长期预报/线性回归/人工神经网络/最近邻抽样回归/漫湾水电站Key words
Medium-long term runoff forecast/linear regression/artificial neural network/nearest neighbor boot-strapping regression (NNBR)/Manwan Hydropower Station分类
天文与地球科学
