水力发电2012，Vol.38Issue(8)：10-13,4.
基于洪水地区组成的门限-人工神经网络洪水预报模型
Threshold-Artificial Neural Network Flood Forecast Model Based on Region Consisting of Flood
摘要
Abstract
In the flood forecast of Cuntan Hydrological Station, the idea of threshold is introduced into the Artificial Neural Network (ANN) flood forecast model, and the Threshold-ANN flood forecast model is established for forecasting the flood of Cuntan Hydrological Station. In addition, the idea of region consisting of flood is also introduced into the model for . automatically identifying the type of flood. The model tests show that the model has high forecast accuracy and can obtain better forecasts for any type of flood.关键词
洪水预报/门限/人工神经网络/模型/洪水地区组成Key words
flood forecast/ threshold/ Artificial Neural Network/ model/ region consisting of flood分类
建筑与水利引用本文复制引用
赵庆绪,马光文,黄炜斌,蒲小芳,舒卫民..基于洪水地区组成的门限-人工神经网络洪水预报模型[J].水力发电,2012,38(8):10-13,4.基金项目
国家科技支撑计划资金资助项目(2008BAB29B09) （2008BAB29B09）
中国长江电力股份有限公司项目资助(240902003) （240902003）
美国能源基金会"中国可持续能源"基金资助项目(G-0610-08581). （G-0610-08581）
