%0 Journal Article
%T Water quality parameter forecast based on grey neural network modeling<br>基于灰色神经网络建模的水质参数预测
%A SHI Wei-ren
%A WANG Yan-xia
%A TANG Yun-jian
%A FAN Min
%A <br>石为人
%A 王燕霞
%A 唐云建
%A 范敏
%J 计算机应用
%D 2009
%I 
%X Owing to the lack of enough monitoring data in water quality parameter prediction, combining information renewal GM(1,1) model and BP neural network model, the grey information renewal neural network model was proposed. Using the data of information renewal model sets as the training and testing samples, the problem that BP network needs a mass of samples to approach nonlinear function better was solved. Experimental results indicate that, compared to the grey information renewal model and BP model, this forecast model is superior in water quality parameter prediction.
%K grey information renewal model
%K BP neural network
%K combined forecasting model
%K water quality prediction<br>灰色新陈代谢模型
%K BP神经网络
%K 组合预测模型
%K 水质预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=7105AF14F93479FB3558D054E5897531&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=B31275AF3241DB2D&sid=513A25C6B816CF5D&eid=CC00A075BF965716&journal_id=1001-9081&journal_name=计算机应用&referenced_num=2&reference_num=14